Pandas Profiling Report

Dataset statistics

Number of variables	51
Number of observations	38113
Missing cells	359349
Missing cells (%)	18.5%
Duplicate rows	2
Duplicate rows (%)	< 0.1%
Total size in memory	14.8 MiB
Average record size in memory	408.0 B

Variable types

Numeric	12
Categorical	35
Unsupported	4

Warnings

`AMOUNTTYPE` has constant value "D"	Constant
`FLOWTYPE` has constant value "115"	Constant
`YEAR` has constant value "2017"	Constant
`Region` has constant value "South of Sahara"	Constant
`Category Code` has constant value "10"	Constant
`Category Name` has constant value "ODA"	Constant
`Amount Type` has constant value "Constant Prices (2017 USD millions)"	Constant
Dataset has 2 (< 0.1%) duplicate rows	Duplicates
`Donor Name` has a high cardinality: 61 distinct values	High cardinality
`Donor Agency` has a high cardinality: 212 distinct values	High cardinality
`OECD ID` has a high cardinality: 27147 distinct values	High cardinality
`Donor Project ID` has a high cardinality: 19217 distinct values	High cardinality
`Recipient Name` has a high cardinality: 51 distinct values	High cardinality
`Channel of Delivery Name` has a high cardinality: 144 distinct values	High cardinality
`Short Description` has a high cardinality: 16224 distinct values	High cardinality
`Project title` has a high cardinality: 16347 distinct values	High cardinality
`Purpose Name` has a high cardinality: 186 distinct values	High cardinality
`Long Description` has a high cardinality: 14502 distinct values	High cardinality
`SECTOR` is highly correlated with `Purpose Code`	High correlation
`CHANNEL` is highly correlated with `Channel of Delivery Code`	High correlation
`Channel of Delivery Code` is highly correlated with `CHANNEL`	High correlation
`Purpose Code` is highly correlated with `SECTOR`	High correlation
`Amount` is highly correlated with `Amount Untied USD million` and 1 other fields	High correlation
`Amount Untied USD million` is highly correlated with `Amount` and 1 other fields	High correlation
`Value` is highly correlated with `Amount` and 1 other fields	High correlation
`FinanceType Name` is highly correlated with `FLOWTYPE` and 7 other fields	High correlation
`FLOWTYPE` is highly correlated with `FinanceType Name` and 25 other fields	High correlation
`Recipient Name` is highly correlated with `FLOWTYPE` and 7 other fields	High correlation
`BiMulti Code` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`Type of Aid Code` is highly correlated with `FLOWTYPE` and 8 other fields	High correlation
`FLOW` is highly correlated with `FinanceType Name` and 7 other fields	High correlation
`Sector` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`Climate Adaptation` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`RMNCH` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`Category Name` is highly correlated with `FinanceType Name` and 25 other fields	High correlation
`Income Group` is highly correlated with `FLOWTYPE` and 7 other fields	High correlation
`Climate Mitigation` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`Gender equality` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`Amount Type` is highly correlated with `FinanceType Name` and 25 other fields	High correlation
`AIDTYPE` is highly correlated with `FLOWTYPE` and 8 other fields	High correlation
`Trade Development` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`Type of Aid Name` is highly correlated with `FLOWTYPE` and 8 other fields	High correlation
`Biodiversity` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`Category Code` is highly correlated with `FinanceType Name` and 25 other fields	High correlation
`Environment` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`PDGG` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`YEAR` is highly correlated with `FinanceType Name` and 25 other fields	High correlation
`AMOUNTTYPE` is highly correlated with `FinanceType Name` and 25 other fields	High correlation
`Donor Name` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`Desertification` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`Region` is highly correlated with `FinanceType Name` and 25 other fields	High correlation
`Nature of Submission` is highly correlated with `FLOWTYPE` and 6 other fields	High correlation
`Donor Project ID` has 7669 (20.1%) missing values	Missing
`Channel of Delivery Name` has 4629 (12.1%) missing values	Missing
`Project title` has 654 (1.7%) missing values	Missing
`Long Description` has 4534 (11.9%) missing values	Missing
`SDG Focus` has 38113 (100.0%) missing values	Missing
`Gender equality` has 7651 (20.1%) missing values	Missing
`Environment` has 12288 (32.2%) missing values	Missing
`PDGG` has 12378 (32.5%) missing values	Missing
`Trade Development` has 17339 (45.5%) missing values	Missing
`RMNCH` has 14440 (37.9%) missing values	Missing
`DRR` has 38113 (100.0%) missing values	Missing
`Nutrition` has 38113 (100.0%) missing values	Missing
`Disability` has 38113 (100.0%) missing values	Missing
`Biodiversity` has 12865 (33.8%) missing values	Missing
`Climate Mitigation` has 11323 (29.7%) missing values	Missing
`Climate Adaptation` has 11155 (29.3%) missing values	Missing
`Desertification` has 20731 (54.4%) missing values	Missing
`Amount Tied USD million` has 23830 (62.5%) missing values	Missing
`Amount Untied USD million` has 14848 (39.0%) missing values	Missing
`Amount Partially Untied USD million` has 30563 (80.2%) missing values	Missing
`Amount` is highly skewed (γ1 = 22.36050163)	Skewed
`Amount Tied USD million` is highly skewed (γ1 = 25.85018859)	Skewed
`Amount Untied USD million` is highly skewed (γ1 = 22.3526214)	Skewed
`Amount Partially Untied USD million` is highly skewed (γ1 = 57.0537557)	Skewed
`Value` is highly skewed (γ1 = 22.36050158)	Skewed
`SDG Focus` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`DRR` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Nutrition` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Disability` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`CHANNEL` has 4629 (12.1%) zeros	Zeros
`Channel of Delivery Code` has 4629 (12.1%) zeros	Zeros
`Amount Tied USD million` has 8731 (22.9%) zeros	Zeros
`Amount Untied USD million` has 2626 (6.9%) zeros	Zeros
`Amount Partially Untied USD million` has 7523 (19.7%) zeros	Zeros

Reproduction

Analysis started	2021-03-26 20:48:52.793028
Analysis finished	2021-03-26 20:49:46.624772
Duration	53.83 seconds
Software version	pandas-profiling v2.10.1
Download configuration	config.yaml

DONOR
Real number (ℝ_≥0)

Distinct	61
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	349.2780679
Minimum	1
Maximum	1313
Zeros	0
Zeros (%)	0.0%
Memory size	297.9 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	9
median	302
Q3	701
95-th percentile	963
Maximum	1313
Range	1312
Interquartile range (IQR)	692

Descriptive statistics

Standard deviation	366.6539848
Coefficient of variation (CV)	1.049748091
Kurtosis	-1.1991152
Mean	349.2780679
Median Absolute Deviation (MAD)	296
Skewness	0.6076254388
Sum	13312035
Variance	134435.1446
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
302	7773	20.4%
4	3664	9.6%
701	3640	9.6%
963	2680	7.0%
5	2121	5.6%
11	1762	4.6%
301	1708	4.5%
12	1454	3.8%
21	1400	3.7%
6	1125	3.0%
Other values (51)	10786	28.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	303	0.8%
2	652	1.7%
3	177	0.5%
4	3664	9.6%
5	2121	5.6%

Value	Count	Frequency (%)
1313	6	< 0.1%
1312	11	< 0.1%
1020	249	0.7%
1016	21	0.1%
1012	36	0.1%

RECIPIENT
Real number (ℝ_≥0)

Distinct	51
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	257.6595912
Minimum	218
Maximum	289
Zeros	0
Zeros (%)	0.0%
Memory size	297.9 KiB

Quantile statistics

Minimum	218
5-th percentile	228
Q1	240
median	256
Q3	278
95-th percentile	288
Maximum	289
Range	71
Interquartile range (IQR)	38

Descriptive statistics

Standard deviation	20.19944863
Coefficient of variation (CV)	0.07839587316
Kurtosis	-1.127469582
Mean	257.6595912
Median Absolute Deviation (MAD)	18
Skewness	-0.01513744572
Sum	9820180
Variance	408.017725
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
248	2019	5.3%
238	1990	5.2%
289	1839	4.8%
282	1665	4.4%
269	1516	4.0%
285	1506	4.0%
235	1486	3.9%
259	1437	3.8%
255	1347	3.5%
261	1271	3.3%
Other values (41)	22037	57.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
218	1072	2.8%
225	392	1.0%
227	250	0.7%
228	632	1.7%
229	922	2.4%

Value	Count	Frequency (%)
289	1839	4.8%
288	901	2.4%
287	1201	3.2%
285	1506	4.0%
283	537	1.4%

SECTOR
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	186
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	29217.93044
Minimum	11110
Maximum	99820
Zeros	0
Zeros (%)	0.0%
Memory size	297.9 KiB

Quantile statistics

Minimum	11110
5-th percentile	11220
Q1	12262
median	15220
Q3	41020
95-th percentile	91010
Maximum	99820
Range	88710
Interquartile range (IQR)	28758

Descriptive statistics

Standard deviation	23669.90093
Coefficient of variation (CV)	0.8101155891
Kurtosis	1.068871334
Mean	29217.93044
Median Absolute Deviation (MAD)	4000
Skewness	1.467369454
Sum	1113582983
Variance	560264210.2
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43010	1836	4.8%
11420	1623	4.3%
91010	1561	4.1%
13040	1495	3.9%
72010	1374	3.6%
11220	941	2.5%
12220	931	2.4%
31120	923	2.4%
15150	834	2.2%
31110	819	2.1%
Other values (176)	25776	67.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11110	480	1.3%
11120	761	2.0%
11130	297	0.8%
11182	21	0.1%
11220	941	2.5%

Value	Count	Frequency (%)
99820	72	0.2%
99810	385	1.0%
93010	83	0.2%
91010	1561	4.1%
74020	346	0.9%

FLOW
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

11	37164
13	931
19	18

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	76226
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	11
2nd row	11
3rd row	11
4th row	13
5th row	13

Value	Count	Frequency (%)
11	37164	97.5%
13	931	2.4%
19	18	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
11	37164	97.5%
13	931	2.4%
19	18	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	75277	98.8%
3	931	1.2%
9	18	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76226	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	75277	98.8%
3	931	1.2%
9	18	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	76226	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	75277	98.8%
3	931	1.2%
9	18	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	76226	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	75277	98.8%
3	931	1.2%
9	18	< 0.1%

CHANNEL
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	21508.4092
Minimum	0
Maximum	90000
Zeros	4629
Zeros (%)	12.1%
Memory size	297.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	10000
median	20000
Q3	20000
95-th percentile	60000
Maximum	90000
Range	90000
Interquartile range (IQR)	10000

Descriptive statistics

Standard deviation	18506.62903
Coefficient of variation (CV)	0.860436904
Kurtosis	0.8641356239
Mean	21508.4092
Median Absolute Deviation (MAD)	10000
Skewness	1.207601997
Sum	819750000
Variance	342495317.9
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
10000	13194	34.6%
20000	11214	29.4%
0	4629	12.1%
40000	3311	8.7%
60000	3152	8.3%
50000	2183	5.7%
90000	332	0.9%
30000	98	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4629	12.1%
10000	13194	34.6%
20000	11214	29.4%
30000	98	0.3%
40000	3311	8.7%

Value	Count	Frequency (%)
90000	332	0.9%
60000	3152	8.3%
50000	2183	5.7%
40000	3311	8.7%
30000	98	0.3%

AMOUNTTYPE
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

D	38113

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	38113
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	D
2nd row	D
3rd row	D
4th row	D
5th row	D

Value	Count	Frequency (%)
D	38113	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
d	38113	100.0%

Most occurring characters

Value	Count	Frequency (%)
D	38113	100.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	38113	100.0%

Most frequent character per category

Value	Count	Frequency (%)
D	38113	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38113	100.0%

Most frequent character per script

Value	Count	Frequency (%)
D	38113	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38113	100.0%

Most frequent character per block

Value	Count	Frequency (%)
D	38113	100.0%

FLOWTYPE
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

115	38113

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	114339
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	115
2nd row	115
3rd row	115
4th row	115
5th row	115

Value	Count	Frequency (%)
115	38113	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
115	38113	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	76226	66.7%
5	38113	33.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	114339	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	76226	66.7%
5	38113	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	114339	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	76226	66.7%
5	38113	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	114339	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	76226	66.7%
5	38113	33.3%

AIDTYPE
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

C01	24021
D02	3695
B01	2791
D01	2016
E01	1724
Other values (10)	3866

Length

Max length	3
Median length	3
Mean length	2.999947524
Min length	1

Characters and Unicode

Total characters	114337
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	C01
2nd row	C01
3rd row	C01
4th row	A01
5th row	A01

Value	Count	Frequency (%)
C01	24021	63.0%
D02	3695	9.7%
B01	2791	7.3%
D01	2016	5.3%
E01	1724	4.5%
G01	1557	4.1%
B03	1456	3.8%
E02	244	0.6%
A02	191	0.5%
B04	145	0.4%
Other values (5)	273	0.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
c01	24021	63.0%
d02	3695	9.7%
b01	2791	7.3%
d01	2016	5.3%
e01	1724	4.5%
g01	1557	4.1%
b03	1456	3.8%
e02	244	0.6%
a02	191	0.5%
b04	145	0.4%
Other values (5)	273	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	38113	33.3%
1	32298	28.2%
C	24021	21.0%
D	5711	5.0%
B	4392	3.8%
2	4213	3.7%
E	1968	1.7%
G	1557	1.4%
3	1456	1.3%
A	256	0.2%
Other values (3)	352	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76225	66.7%
Uppercase Letter	38112	33.3%

Most frequent character per category

Value	Count	Frequency (%)
C	24021	63.0%
D	5711	15.0%
B	4392	11.5%
E	1968	5.2%
G	1557	4.1%
A	256	0.7%
H	161	0.4%
F	46	0.1%

Value	Count	Frequency (%)
0	38113	50.0%
1	32298	42.4%
2	4213	5.5%
3	1456	1.9%
4	145	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	76225	66.7%
Latin	38112	33.3%

Most frequent character per script

Value	Count	Frequency (%)
C	24021	63.0%
D	5711	15.0%
B	4392	11.5%
E	1968	5.2%
G	1557	4.1%
A	256	0.7%
H	161	0.4%
F	46	0.1%

Value	Count	Frequency (%)
0	38113	50.0%
1	32298	42.4%
2	4213	5.5%
3	1456	1.9%
4	145	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	114337	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	38113	33.3%
1	32298	28.2%
C	24021	21.0%
D	5711	5.0%
B	4392	3.8%
2	4213	3.7%
E	1968	1.7%
G	1557	1.4%
3	1456	1.3%
A	256	0.2%
Other values (3)	352	0.3%

YEAR
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

2017	38113

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	152452
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2017
2nd row	2017
3rd row	2017
4th row	2017
5th row	2017

Value	Count	Frequency (%)
2017	38113	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
2017	38113	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	38113	25.0%
0	38113	25.0%
1	38113	25.0%
7	38113	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	152452	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	38113	25.0%
0	38113	25.0%
1	38113	25.0%
7	38113	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	152452	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	38113	25.0%
0	38113	25.0%
1	38113	25.0%
7	38113	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	152452	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	38113	25.0%
0	38113	25.0%
1	38113	25.0%
7	38113	25.0%

Donor Name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	61
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

United States	7773
France	3664
Japan	3640
UNICEF	2680
Germany	2121
Other values (56)	18235

Length

Max length	39
Median length	7
Mean length	9.769160129
Min length	4

Characters and Unicode

Total characters	372332
Distinct characters	50
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	UNDP
2nd row	UNDP
3rd row	UNDP
4th row	IMF (Concessional Trust Funds)
5th row	IMF (Concessional Trust Funds)

Value	Count	Frequency (%)
United States	7773	20.4%
France	3664	9.6%
Japan	3640	9.6%
UNICEF	2680	7.0%
Germany	2121	5.6%
Switzerland	1762	4.6%
Canada	1708	4.5%
United Kingdom	1454	3.8%
Ireland	1400	3.7%
Italy	1125	3.0%
Other values (51)	10786	28.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
united	9231	17.2%
states	7773	14.5%
france	3664	6.8%
japan	3640	6.8%
unicef	2680	5.0%
germany	2121	4.0%
switzerland	1762	3.3%
canada	1708	3.2%
kingdom	1454	2.7%
ireland	1400	2.6%
Other values (72)	18148	33.9%

Most occurring characters

Value	Count	Frequency (%)
a	43031	11.6%
n	37039	9.9%
t	36207	9.7%
e	36141	9.7%
i	21360	5.7%
d	18197	4.9%
r	17261	4.6%
	15468	4.2%
U	13444	3.6%
s	12350	3.3%
Other values (40)	121834	32.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	284800	76.5%
Uppercase Letter	72008	19.3%
Space Separator	15468	4.2%
Open Punctuation	28	< 0.1%
Close Punctuation	28	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	43031	15.1%
n	37039	13.0%
t	36207	12.7%
e	36141	12.7%
i	21360	7.5%
d	18197	6.4%
r	17261	6.1%
s	12350	4.3%
l	11407	4.0%
o	10926	3.8%
Other values (15)	40881	14.4%

Value	Count	Frequency (%)
U	13444	18.7%
S	11116	15.4%
F	7535	10.5%
I	6925	9.6%
N	5287	7.3%
C	4837	6.7%
J	3640	5.1%
E	3445	4.8%
G	2420	3.4%
D	2401	3.3%
Other values (12)	10958	15.2%

Value	Count	Frequency (%)
	15468	100.0%

Value	Count	Frequency (%)
(	28	100.0%

Value	Count	Frequency (%)
)	28	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	356808	95.8%
Common	15524	4.2%

Most frequent character per script

Value	Count	Frequency (%)
a	43031	12.1%
n	37039	10.4%
t	36207	10.1%
e	36141	10.1%
i	21360	6.0%
d	18197	5.1%
r	17261	4.8%
U	13444	3.8%
s	12350	3.5%
l	11407	3.2%
Other values (37)	110371	30.9%

Value	Count	Frequency (%)
	15468	99.6%
(	28	0.2%
)	28	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	372332	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	43031	11.6%
n	37039	9.9%
t	36207	9.7%
e	36141	9.7%
i	21360	5.7%
d	18197	4.9%
r	17261	4.6%
	15468	4.2%
U	13444	3.6%
s	12350	3.3%
Other values (40)	121834	32.7%

Donor Agency
Categorical

HIGH CARDINALITY

Distinct	212
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

Agency for International Development	5521
Japanese International Co-operation Agency	3170
Ministry of Foreign Affairs	2862
UNICEF	2680
Department of Foreign Affairs	1393
Other values (207)	22487

Length

Max length	75
Median length	29
Mean length	28.9029465
Min length	3

Characters and Unicode

Total characters	1101578
Distinct characters	61
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	23 ?
Unique (%)	0.1%

Sample

1st row	UNDP
2nd row	UNDP
3rd row	UNDP
4th row	IMF concessional
5th row	IMF concessional

Value	Count	Frequency (%)
Agency for International Development	5521	14.5%
Japanese International Co-operation Agency	3170	8.3%
Ministry of Foreign Affairs	2862	7.5%
UNICEF	2680	7.0%
Department of Foreign Affairs	1393	3.7%
Global Affairs Canada	1287	3.4%
COOP DECENTRAL/MAE	1271	3.3%
UNDP	965	2.5%
Cantons and municipalities	865	2.3%
WHO	857	2.2%
Other values (202)	17242	45.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
agency	10908	8.2%
international	10805	8.1%
development	9251	7.0%
for	8811	6.6%
of	6930	5.2%
affairs	6331	4.8%
foreign	5860	4.4%
co-operation	4983	3.7%
and	4596	3.5%
ministry	4364	3.3%
Other values (317)	60183	45.2%

Most occurring characters

Value	Count	Frequency (%)
e	108682	9.9%
n	108096	9.8%
	95010	8.6%
a	79555	7.2%
o	77353	7.0%
t	70290	6.4%
i	67638	6.1%
r	66568	6.0%
l	35855	3.3%
f	34072	3.1%
Other values (51)	358459	32.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	847314	76.9%
Uppercase Letter	148521	13.5%
Space Separator	95010	8.6%
Dash Punctuation	5280	0.5%
Other Punctuation	3720	0.3%
Close Punctuation	817	0.1%
Open Punctuation	647	0.1%
Math Symbol	269	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
A	22507	15.2%
D	17881	12.0%
I	16325	11.0%
C	15729	10.6%
F	11396	7.7%
E	10183	6.9%
N	7189	4.8%
M	7083	4.8%
O	5215	3.5%
U	4421	3.0%
Other values (15)	30592	20.6%

Value	Count	Frequency (%)
e	108682	12.8%
n	108096	12.8%
a	79555	9.4%
o	77353	9.1%
t	70290	8.3%
i	67638	8.0%
r	66568	7.9%
l	35855	4.2%
f	34072	4.0%
s	33505	4.0%
Other values (15)	165700	19.6%

Value	Count	Frequency (%)
/	1515	40.7%
,	1387	37.3%
&	745	20.0%
.	69	1.9%
'	4	0.1%

Value	Count	Frequency (%)
=	231	85.9%
±	38	14.1%

Value	Count	Frequency (%)
	95010	100.0%

Value	Count	Frequency (%)
(	647	100.0%

Value	Count	Frequency (%)
-	5280	100.0%

Value	Count	Frequency (%)
)	817	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	995835	90.4%
Common	105743	9.6%

Most frequent character per script

Value	Count	Frequency (%)
e	108682	10.9%
n	108096	10.9%
a	79555	8.0%
o	77353	7.8%
t	70290	7.1%
i	67638	6.8%
r	66568	6.7%
l	35855	3.6%
f	34072	3.4%
s	33505	3.4%
Other values (40)	314221	31.6%

Value	Count	Frequency (%)
	95010	89.8%
-	5280	5.0%
/	1515	1.4%
,	1387	1.3%
)	817	0.8%
&	745	0.7%
(	647	0.6%
=	231	0.2%
.	69	0.1%
±	38	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1101540	> 99.9%
None	38	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
e	108682	9.9%
n	108096	9.8%
	95010	8.6%
a	79555	7.2%
o	77353	7.0%
t	70290	6.4%
i	67638	6.1%
r	66568	6.0%
l	35855	3.3%
f	34072	3.1%
Other values (50)	358421	32.5%

Value	Count	Frequency (%)
±	38	100.0%

OECD ID
Categorical

HIGH CARDINALITY

Distinct	27147
Distinct (%)	71.2%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

2.0172E+13	1013
2.0152E+13	70
2.0162E+13	40
2.01523E+12	22
2.0132E+12	18
Other values (27142)	36950

Length

Max length	14
Median length	10
Mean length	10.1905649
Min length	9

Characters and Unicode

Total characters	388393
Distinct characters	49
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	23059 ?
Unique (%)	60.5%

Sample

1st row	2017001425
2nd row	2017001299
3rd row	2017002535
4th row	2017000014
5th row	2017000025

Value	Count	Frequency (%)
2.0172E+13	1013	2.7%
2.0152E+13	70	0.2%
2.0162E+13	40	0.1%
2.01523E+12	22	0.1%
2.0132E+12	18	< 0.1%
2017000007	18	< 0.1%
2.0142E+13	18	< 0.1%
2017000011	17	< 0.1%
2.0132E+13	16	< 0.1%
2017000012	16	< 0.1%
Other values (27137)	36865	96.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
2.0172e+13	1013	2.7%
2.0152e+13	70	0.2%
2.0162e+13	40	0.1%
2.01523e+12	22	0.1%
2017000007	18	< 0.1%
2.0142e+13	18	< 0.1%
2.0132e+12	18	< 0.1%
2017000011	17	< 0.1%
2017000012	16	< 0.1%
2.0132e+13	16	< 0.1%
Other values (27137)	36865	96.7%

Most occurring characters

Value	Count	Frequency (%)
0	111146	28.6%
1	63390	16.3%
2	59167	15.2%
7	50872	13.1%
5	16978	4.4%
6	16598	4.3%
3	16426	4.2%
9	15243	3.9%
4	14473	3.7%
8	13742	3.5%
Other values (39)	10358	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	378035	97.3%
Uppercase Letter	6717	1.7%
Math Symbol	1320	0.3%
Other Punctuation	1317	0.3%
Dash Punctuation	753	0.2%
Lowercase Letter	251	0.1%

Most frequent character per category

Value	Count	Frequency (%)
A	1796	26.7%
E	1474	21.9%
B	1277	19.0%
C	1219	18.1%
D	295	4.4%
X	103	1.5%
F	93	1.4%
G	81	1.2%
Z	47	0.7%
K	45	0.7%
Other values (15)	287	4.3%

Value	Count	Frequency (%)
a	165	65.7%
b	36	14.3%
c	19	7.6%
d	12	4.8%
e	7	2.8%
f	4	1.6%
g	3	1.2%
z	2	0.8%
r	1	0.4%
l	1	0.4%

Value	Count	Frequency (%)
0	111146	29.4%
1	63390	16.8%
2	59167	15.7%
7	50872	13.5%
5	16978	4.5%
6	16598	4.4%
3	16426	4.3%
9	15243	4.0%
4	14473	3.8%
8	13742	3.6%

Value	Count	Frequency (%)
+	1320	100.0%

Value	Count	Frequency (%)
.	1317	100.0%

Value	Count	Frequency (%)
-	753	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	381425	98.2%
Latin	6968	1.8%

Most frequent character per script

Value	Count	Frequency (%)
A	1796	25.8%
E	1474	21.2%
B	1277	18.3%
C	1219	17.5%
D	295	4.2%
a	165	2.4%
X	103	1.5%
F	93	1.3%
G	81	1.2%
Z	47	0.7%
Other values (26)	418	6.0%

Value	Count	Frequency (%)
0	111146	29.1%
1	63390	16.6%
2	59167	15.5%
7	50872	13.3%
5	16978	4.5%
6	16598	4.4%
3	16426	4.3%
9	15243	4.0%
4	14473	3.8%
8	13742	3.6%
Other values (3)	3390	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	388393	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	111146	28.6%
1	63390	16.3%
2	59167	15.2%
7	50872	13.1%
5	16978	4.4%
6	16598	4.3%
3	16426	4.2%
9	15243	3.9%
4	14473	3.7%
8	13742	3.5%
Other values (39)	10358	2.7%

Donor Project ID
Categorical

HIGH CARDINALITY
MISSING

Distinct	19217
Distinct (%)	63.1%
Missing	7669
Missing (%)	20.1%
Memory size	297.9 KiB

B2PROGRAM-CSFPRGFND	455
2.01704E+12	325
B2MISCARA-CSFSTRAT	251
2.01803E+12	219
B2PROJECT-CSFPPROJECT	142
Other values (19212)	29052

Length

Max length	255
Median length	10
Mean length	12.53228879
Min length	1

Characters and Unicode

Total characters	381533
Distinct characters	75
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16463 ?
Unique (%)	54.1%

Sample

1st row	90771
2nd row	89430
3rd row	105530
4th row	B2PROGRAM-CSFPRGFND
5th row	B2PROGRAM-CSFPRGFND

Value	Count	Frequency (%)
B2PROGRAM-CSFPRGFND	455	1.2%
2.01704E+12	325	0.9%
B2MISCARA-CSFSTRAT	251	0.7%
2.01803E+12	219	0.6%
B2PROJECT-CSFPPROJECT	142	0.4%
INM061	137	0.4%
###############################################################################################################################################################################################################################################################	116	0.3%
2.01718E+11	95	0.2%
P000734002	90	0.2%
2.10E+12	86	0.2%
Other values (19207)	28528	74.9%
(Missing)	7669	20.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
b2program-csfprgfnd	455	1.4%
	454	1.4%
2.01704e+12	325	1.0%
b2miscara-csfstrat	251	0.8%
2.01803e+12	219	0.7%
2017	178	0.6%
b2project-csfpproject	142	0.4%
inm061	137	0.4%
2.01718e+11	95	0.3%
p000734002	90	0.3%
Other values (19254)	29383	92.6%

Most occurring characters

Value	Count	Frequency (%)
0	62199	16.3%
1	37655	9.9%
#	29580	7.8%
2	27077	7.1%
7	21593	5.7%
6	20120	5.3%
-	18558	4.9%
5	15856	4.2%
3	15824	4.1%
4	15658	4.1%
Other values (65)	117413	30.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	239119	62.7%
Uppercase Letter	60587	15.9%
Other Punctuation	47915	12.6%
Dash Punctuation	18558	4.9%
Connector Punctuation	8878	2.3%
Lowercase Letter	4149	1.1%
Space Separator	1299	0.3%
Math Symbol	995	0.3%
Open Punctuation	17	< 0.1%
Close Punctuation	13	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
A	9051	14.9%
P	4451	7.3%
E	4272	7.1%
S	4249	7.0%
C	4049	6.7%
R	3955	6.5%
D	3677	6.1%
F	3206	5.3%
M	3133	5.2%
B	2822	4.7%
Other values (16)	17722	29.3%

Value	Count	Frequency (%)
r	747	18.0%
s	722	17.4%
c	645	15.5%
e	308	7.4%
a	279	6.7%
i	218	5.3%
n	195	4.7%
o	181	4.4%
t	178	4.3%
u	109	2.6%
Other values (16)	567	13.7%

Value	Count	Frequency (%)
0	62199	26.0%
1	37655	15.7%
2	27077	11.3%
7	21593	9.0%
6	20120	8.4%
5	15856	6.6%
3	15824	6.6%
4	15658	6.5%
8	12020	5.0%
9	11117	4.6%

Value	Count	Frequency (%)
#	29580	61.7%
/	14403	30.1%
.	3883	8.1%
\	29	0.1%
,	13	< 0.1%
:	7	< 0.1%

Value	Count	Frequency (%)
-	18558	100.0%

Value	Count	Frequency (%)
	1299	100.0%

Value	Count	Frequency (%)
_	8878	100.0%

Value	Count	Frequency (%)
)	13	100.0%

Value	Count	Frequency (%)
(	17	100.0%

Value	Count	Frequency (%)
+	995	100.0%

Value	Count	Frequency (%)
`	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	316797	83.0%
Latin	64736	17.0%

Most frequent character per script

Value	Count	Frequency (%)
A	9051	14.0%
P	4451	6.9%
E	4272	6.6%
S	4249	6.6%
C	4049	6.3%
R	3955	6.1%
D	3677	5.7%
F	3206	5.0%
M	3133	4.8%
B	2822	4.4%
Other values (42)	21871	33.8%

Value	Count	Frequency (%)
0	62199	19.6%
1	37655	11.9%
#	29580	9.3%
2	27077	8.5%
7	21593	6.8%
6	20120	6.4%
-	18558	5.9%
5	15856	5.0%
3	15824	5.0%
4	15658	4.9%
Other values (13)	52677	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	381532	> 99.9%
None	1	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
0	62199	16.3%
1	37655	9.9%
#	29580	7.8%
2	27077	7.1%
7	21593	5.7%
6	20120	5.3%
-	18558	4.9%
5	15856	4.2%
3	15824	4.1%
4	15658	4.1%
Other values (64)	117412	30.8%

Value	Count	Frequency (%)
á	1	100.0%

Recipient Name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	51
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

Kenya	2019
Ethiopia	1990
South of Sahara, regional	1839
Tanzania	1665
Senegal	1516
Other values (46)	29084

Length

Max length	32
Median length	7
Mean length	9.540681657
Min length	4

Characters and Unicode

Total characters	363624
Distinct characters	50
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Kenya
2nd row	Kenya
3rd row	Kenya
4th row	Benin
5th row	Burkina Faso

Value	Count	Frequency (%)
Kenya	2019	5.3%
Ethiopia	1990	5.2%
South of Sahara, regional	1839	4.8%
Tanzania	1665	4.4%
Senegal	1516	4.0%
Uganda	1506	4.0%
Democratic Republic of the Congo	1486	3.9%
Mozambique	1437	3.8%
Mali	1347	3.5%
Nigeria	1271	3.3%
Other values (41)	22037	57.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
south	3816	6.8%
of	3325	6.0%
kenya	2019	3.6%
ethiopia	1990	3.6%
republic	1937	3.5%
regional	1839	3.3%
sahara	1839	3.3%
congo	1761	3.2%
sudan	1692	3.0%
tanzania	1665	3.0%
Other values (54)	33956	60.8%

Most occurring characters

Value	Count	Frequency (%)
a	56073	15.4%
i	32055	8.8%
o	26410	7.3%
e	24601	6.8%
n	24227	6.7%
	17726	4.9%
r	17322	4.8%
u	13566	3.7%
t	11778	3.2%
h	10978	3.0%
Other values (40)	128888	35.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	293000	80.6%
Uppercase Letter	49318	13.6%
Space Separator	17726	4.9%
Other Punctuation	2567	0.7%
Open Punctuation	728	0.2%
Dash Punctuation	285	0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	56073	19.1%
i	32055	10.9%
o	26410	9.0%
e	24601	8.4%
n	24227	8.3%
r	17322	5.9%
u	13566	4.6%
t	11778	4.0%
h	10978	3.7%
g	10895	3.7%
Other values (15)	65095	22.2%

Value	Count	Frequency (%)
S	10467	21.2%
M	5628	11.4%
C	4844	9.8%
B	3191	6.5%
R	2844	5.8%
N	2520	5.1%
E	2475	5.0%
G	2371	4.8%
T	2358	4.8%
K	2019	4.1%
Other values (10)	10601	21.5%

Value	Count	Frequency (%)
,	1839	71.6%
'	728	28.4%

Value	Count	Frequency (%)
	17726	100.0%

Value	Count	Frequency (%)
(	728	100.0%

Value	Count	Frequency (%)
-	285	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	342318	94.1%
Common	21306	5.9%

Most frequent character per script

Value	Count	Frequency (%)
a	56073	16.4%
i	32055	9.4%
o	26410	7.7%
e	24601	7.2%
n	24227	7.1%
r	17322	5.1%
u	13566	4.0%
t	11778	3.4%
h	10978	3.2%
g	10895	3.2%
Other values (35)	114413	33.4%

Value	Count	Frequency (%)
	17726	83.2%
,	1839	8.6%
(	728	3.4%
'	728	3.4%
-	285	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363624	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	56073	15.4%
i	32055	8.8%
o	26410	7.3%
e	24601	6.8%
n	24227	6.7%
	17726	4.9%
r	17322	4.8%
u	13566	3.7%
t	11778	3.2%
h	10978	3.0%
Other values (40)	128888	35.4%

Region
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

South of Sahara	38113

Length

Max length	15
Median length	15
Mean length	15
Min length	15

Characters and Unicode

Total characters	571695
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South of Sahara
2nd row	South of Sahara
3rd row	South of Sahara
4th row	South of Sahara
5th row	South of Sahara

Value	Count	Frequency (%)
South of Sahara	38113	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
sahara	38113	33.3%
south	38113	33.3%
of	38113	33.3%

Most occurring characters

Value	Count	Frequency (%)
a	114339	20.0%
S	76226	13.3%
o	76226	13.3%
h	76226	13.3%
	76226	13.3%
u	38113	6.7%
t	38113	6.7%
f	38113	6.7%
r	38113	6.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	419243	73.3%
Uppercase Letter	76226	13.3%
Space Separator	76226	13.3%

Most frequent character per category

Value	Count	Frequency (%)
a	114339	27.3%
o	76226	18.2%
h	76226	18.2%
u	38113	9.1%
t	38113	9.1%
f	38113	9.1%
r	38113	9.1%

Value	Count	Frequency (%)
S	76226	100.0%

Value	Count	Frequency (%)
	76226	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	495469	86.7%
Common	76226	13.3%

Most frequent character per script

Value	Count	Frequency (%)
a	114339	23.1%
S	76226	15.4%
o	76226	15.4%
h	76226	15.4%
u	38113	7.7%
t	38113	7.7%
f	38113	7.7%
r	38113	7.7%

Value	Count	Frequency (%)
	76226	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	571695	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	114339	20.0%
S	76226	13.3%
o	76226	13.3%
h	76226	13.3%
	76226	13.3%
u	38113	6.7%
t	38113	6.7%
f	38113	6.7%
r	38113	6.7%

Income Group
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

LDCs	26548
LMICs	6730
UMICs	2168
Part I unallocated by income	1839
Other LICs	756

Length

Max length	28
Median length	4
Mean length	5.514286464
Min length	4

Characters and Unicode

Total characters	210166
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LMICs
2nd row	LMICs
3rd row	LMICs
4th row	LDCs
5th row	LDCs

Value	Count	Frequency (%)
LDCs	26548	69.7%
LMICs	6730	17.7%
UMICs	2168	5.7%
Part I unallocated by income	1839	4.8%
Other LICs	756	2.0%
MADCTs	72	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
ldcs	26548	57.4%
lmics	6730	14.6%
umics	2168	4.7%
i	1839	4.0%
income	1839	4.0%
part	1839	4.0%
unallocated	1839	4.0%
by	1839	4.0%
other	756	1.6%
lics	756	1.6%

Most occurring characters

Value	Count	Frequency (%)
C	36274	17.3%
s	36274	17.3%
L	34034	16.2%
D	26620	12.7%
I	11493	5.5%
M	8970	4.3%
	8112	3.9%
a	5517	2.6%
t	4434	2.1%
e	4434	2.1%
Other values (17)	34004	16.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	122298	58.2%
Lowercase Letter	79756	37.9%
Space Separator	8112	3.9%

Most frequent character per category

Value	Count	Frequency (%)
s	36274	45.5%
a	5517	6.9%
t	4434	5.6%
e	4434	5.6%
n	3678	4.6%
l	3678	4.6%
o	3678	4.6%
c	3678	4.6%
r	2595	3.3%
u	1839	2.3%
Other values (6)	9951	12.5%

Value	Count	Frequency (%)
C	36274	29.7%
L	34034	27.8%
D	26620	21.8%
I	11493	9.4%
M	8970	7.3%
U	2168	1.8%
P	1839	1.5%
O	756	0.6%
A	72	0.1%
T	72	0.1%

Value	Count	Frequency (%)
	8112	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	202054	96.1%
Common	8112	3.9%

Most frequent character per script

Value	Count	Frequency (%)
C	36274	18.0%
s	36274	18.0%
L	34034	16.8%
D	26620	13.2%
I	11493	5.7%
M	8970	4.4%
a	5517	2.7%
t	4434	2.2%
e	4434	2.2%
n	3678	1.8%
Other values (16)	30326	15.0%

Value	Count	Frequency (%)
	8112	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	210166	100.0%

Most frequent character per block

Value	Count	Frequency (%)
C	36274	17.3%
s	36274	17.3%
L	34034	16.2%
D	26620	12.7%
I	11493	5.5%
M	8970	4.3%
	8112	3.9%
a	5517	2.6%
t	4434	2.1%
e	4434	2.1%
Other values (17)	34004	16.2%

Channel of Delivery Code
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	21508.4092
Minimum	0
Maximum	90000
Zeros	4629
Zeros (%)	12.1%
Memory size	297.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	10000
median	20000
Q3	20000
95-th percentile	60000
Maximum	90000
Range	90000
Interquartile range (IQR)	10000

Descriptive statistics

Standard deviation	18506.62903
Coefficient of variation (CV)	0.860436904
Kurtosis	0.8641356239
Mean	21508.4092
Median Absolute Deviation (MAD)	10000
Skewness	1.207601997
Sum	819750000
Variance	342495317.9
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
10000	13194	34.6%
20000	11214	29.4%
0	4629	12.1%
40000	3311	8.7%
60000	3152	8.3%
50000	2183	5.7%
90000	332	0.9%
30000	98	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4629	12.1%
10000	13194	34.6%
20000	11214	29.4%
30000	98	0.3%
40000	3311	8.7%

Value	Count	Frequency (%)
90000	332	0.9%
60000	3152	8.3%
50000	2183	5.7%
40000	3311	8.7%
30000	98	0.3%

Channel of Delivery Name
Categorical

HIGH CARDINALITY
MISSING

Distinct	144
Distinct (%)	0.4%
Missing	4629
Missing (%)	12.1%
Memory size	297.9 KiB

Donor country-based NGO	8377
Recipient Government	4377
Donor Government	3560
Central Government	3491
University, college or other teaching institution, research institute or think-tank	1944
Other values (139)	11735

Length

Max length	100
Median length	23
Mean length	28.11892247
Min length	5

Characters and Unicode

Total characters	941534
Distinct characters	55
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25 ?
Unique (%)	0.1%

Sample

1st row	Donor country-based NGO
2nd row	Donor country-based NGO
3rd row	Donor country-based NGO
4th row	Donor country-based NGO
5th row	Donor country-based NGO

Value	Count	Frequency (%)
Donor country-based NGO	8377	22.0%
Recipient Government	4377	11.5%
Donor Government	3560	9.3%
Central Government	3491	9.2%
University, college or other teaching institution, research institute or think-tank	1944	5.1%
Private sector in provider country	1704	4.5%
Developing country-based NGO	1096	2.9%
International NGO	1095	2.9%
Private sector in recipient country	1019	2.7%
Other public entities in donor country	652	1.7%
Other values (134)	6169	16.2%
(Missing)	4629	12.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
donor	12589	10.8%
government	11965	10.3%
ngo	10896	9.4%
country-based	9473	8.2%
recipient	5424	4.7%
or	3941	3.4%
country	3542	3.0%
central	3492	3.0%
in	3460	3.0%
other	3280	2.8%
Other values (258)	48108	41.4%

Most occurring characters

Value	Count	Frequency (%)
n	99270	10.5%
e	89951	9.6%
	85318	9.1%
o	84447	9.0%
t	80443	8.5%
r	77277	8.2%
i	56367	6.0%
a	36749	3.9%
c	32149	3.4%
s	29704	3.2%
Other values (45)	269859	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	744759	79.1%
Uppercase Letter	93391	9.9%
Space Separator	85318	9.1%
Dash Punctuation	12706	1.3%
Other Punctuation	4093	0.4%
Open Punctuation	650	0.1%
Close Punctuation	617	0.1%

Most frequent character per category

Value	Count	Frequency (%)
n	99270	13.3%
e	89951	12.1%
o	84447	11.3%
t	80443	10.8%
r	77277	10.4%
i	56367	7.6%
a	36749	4.9%
c	32149	4.3%
s	29704	4.0%
u	21745	2.9%
Other values (15)	136657	18.3%

Value	Count	Frequency (%)
G	23306	25.0%
O	13986	15.0%
D	13770	14.7%
N	13159	14.1%
C	5614	6.0%
R	5065	5.4%
P	5017	5.4%
U	3888	4.2%
I	2636	2.8%
F	1449	1.6%
Other values (12)	5501	5.9%

Value	Count	Frequency (%)
,	4086	99.8%
/	6	0.1%
'	1	< 0.1%

Value	Count	Frequency (%)
(	623	95.8%
[	27	4.2%

Value	Count	Frequency (%)
	85318	100.0%

Value	Count	Frequency (%)
-	12706	100.0%

Value	Count	Frequency (%)
)	617	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	838150	89.0%
Common	103384	11.0%

Most frequent character per script

Value	Count	Frequency (%)
n	99270	11.8%
e	89951	10.7%
o	84447	10.1%
t	80443	9.6%
r	77277	9.2%
i	56367	6.7%
a	36749	4.4%
c	32149	3.8%
s	29704	3.5%
G	23306	2.8%
Other values (37)	228487	27.3%

Value	Count	Frequency (%)
	85318	82.5%
-	12706	12.3%
,	4086	4.0%
(	623	0.6%
)	617	0.6%
[	27	< 0.1%
/	6	< 0.1%
'	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	941145	> 99.9%
None	389	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
n	99270	10.5%
e	89951	9.6%
	85318	9.1%
o	84447	9.0%
t	80443	8.5%
r	77277	8.2%
i	56367	6.0%
a	36749	3.9%
c	32149	3.4%
s	29704	3.2%
Other values (44)	269470	28.6%

Value	Count	Frequency (%)
Æ	389	100.0%

Category Code
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

10	38113

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	76226
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	10
2nd row	10
3rd row	10
4th row	10
5th row	10

Value	Count	Frequency (%)
10	38113	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
10	38113	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	38113	50.0%
0	38113	50.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76226	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	38113	50.0%
0	38113	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	76226	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	38113	50.0%
0	38113	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	76226	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	38113	50.0%
0	38113	50.0%

Category Name
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

ODA	38113

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	114339
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ODA
2nd row	ODA
3rd row	ODA
4th row	ODA
5th row	ODA

Value	Count	Frequency (%)
ODA	38113	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
oda	38113	100.0%

Most occurring characters

Value	Count	Frequency (%)
O	38113	33.3%
D	38113	33.3%
A	38113	33.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	114339	100.0%

Most frequent character per category

Value	Count	Frequency (%)
O	38113	33.3%
D	38113	33.3%
A	38113	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	114339	100.0%

Most frequent character per script

Value	Count	Frequency (%)
O	38113	33.3%
D	38113	33.3%
A	38113	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	114339	100.0%

Most frequent character per block

Value	Count	Frequency (%)
O	38113	33.3%
D	38113	33.3%
A	38113	33.3%

FinanceType Code
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	118.4225855
Minimum	110
Maximum	633
Zeros	0
Zeros (%)	0.0%
Memory size	297.9 KiB

Quantile statistics

Minimum	110
5-th percentile	110
Q1	110
median	110
Q3	110
95-th percentile	110
Maximum	633
Range	523
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	51.73343032
Coefficient of variation (CV)	0.4368544236
Kurtosis	37.27512117
Mean	118.4225855
Median Absolute Deviation (MAD)	0
Skewness	6.148411669
Sum	4513440
Variance	2676.347813
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
110	37107	97.4%
421	931	2.4%
611	36	0.1%
510	16	< 0.1%
210	11	< 0.1%
633	4	< 0.1%
613	3	< 0.1%
520	2	< 0.1%
612	2	< 0.1%
618	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
110	37107	97.4%
210	11	< 0.1%
421	931	2.4%
510	16	< 0.1%
520	2	< 0.1%

Value	Count	Frequency (%)
633	4	< 0.1%
618	1	< 0.1%
613	3	< 0.1%
612	2	< 0.1%
611	36	0.1%

FinanceType Name
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

Standard grant	37107
Standard loan	931
Debt forgiveness: ODA claims (I)	36
Common equity	16
Interest subsidy	11
Other values (5)	12

Length

Max length	53
Median length	14
Mean length	14.00083961
Min length	13

Characters and Unicode

Total characters	533614
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Standard grant
2nd row	Standard grant
3rd row	Standard grant
4th row	Standard loan
5th row	Standard loan

Value	Count	Frequency (%)
Standard grant	37107	97.4%
Standard loan	931	2.4%
Debt forgiveness: ODA claims (I)	36	0.1%
Common equity	16	< 0.1%
Interest subsidy	11	< 0.1%
Debt forgiveness/conversion: export credit claims (P)	4	< 0.1%
Debt forgiveness: OOF claims (I)	3	< 0.1%
Shares in collective investment vehicles	2	< 0.1%
Debt forgiveness: OOF claims (P)	2	< 0.1%
Debt forgiveness: Other	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
standard	38038	49.8%
grant	37107	48.6%
loan	931	1.2%
debt	46	0.1%
claims	45	0.1%
forgiveness	42	0.1%
i	39	0.1%
oda	36	< 0.1%
equity	16	< 0.1%
common	16	< 0.1%
Other values (13)	56	0.1%

Most occurring characters

Value	Count	Frequency (%)
a	114161	21.4%
n	76163	14.3%
d	76091	14.3%
t	75244	14.1%
r	75217	14.1%
	38261	7.2%
S	38040	7.1%
g	37153	7.0%
o	1023	0.2%
l	982	0.2%
Other values (25)	1279	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	456931	85.6%
Uppercase Letter	38282	7.2%
Space Separator	38261	7.2%
Other Punctuation	50	< 0.1%
Open Punctuation	45	< 0.1%
Close Punctuation	45	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	114161	25.0%
n	76163	16.7%
d	76091	16.7%
t	75244	16.5%
r	75217	16.5%
g	37153	8.1%
o	1023	0.2%
l	982	0.2%
e	203	< 0.1%
s	180	< 0.1%
Other values (12)	514	0.1%

Value	Count	Frequency (%)
S	38040	99.4%
D	82	0.2%
I	50	0.1%
O	47	0.1%
A	36	0.1%
C	16	< 0.1%
P	6	< 0.1%
F	5	< 0.1%

Value	Count	Frequency (%)
:	46	92.0%
/	4	8.0%

Value	Count	Frequency (%)
	38261	100.0%

Value	Count	Frequency (%)
(	45	100.0%

Value	Count	Frequency (%)
)	45	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	495213	92.8%
Common	38401	7.2%

Most frequent character per script

Value	Count	Frequency (%)
a	114161	23.1%
n	76163	15.4%
d	76091	15.4%
t	75244	15.2%
r	75217	15.2%
S	38040	7.7%
g	37153	7.5%
o	1023	0.2%
l	982	0.2%
e	203	< 0.1%
Other values (20)	936	0.2%

Value	Count	Frequency (%)
	38261	99.6%
:	46	0.1%
(	45	0.1%
)	45	0.1%
/	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	533614	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	114161	21.4%
n	76163	14.3%
d	76091	14.3%
t	75244	14.1%
r	75217	14.1%
	38261	7.2%
S	38040	7.1%
g	37153	7.0%
o	1023	0.2%
l	982	0.2%
Other values (25)	1279	0.2%

BiMulti Code
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

1	28387
4	6786
7	1644
3	1282
8	14

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	38113
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	4

Value	Count	Frequency (%)
1	28387	74.5%
4	6786	17.8%
7	1644	4.3%
3	1282	3.4%
8	14	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	28387	74.5%
4	6786	17.8%
7	1644	4.3%
3	1282	3.4%
8	14	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	28387	74.5%
4	6786	17.8%
7	1644	4.3%
3	1282	3.4%
8	14	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38113	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	28387	74.5%
4	6786	17.8%
7	1644	4.3%
3	1282	3.4%
8	14	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	38113	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	28387	74.5%
4	6786	17.8%
7	1644	4.3%
3	1282	3.4%
8	14	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38113	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	28387	74.5%
4	6786	17.8%
7	1644	4.3%
3	1282	3.4%
8	14	< 0.1%

Type of Aid Code
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

C01	24021
D02	3695
B01	2791
D01	2016
E01	1724
Other values (10)	3866

Length

Max length	3
Median length	3
Mean length	2.999947524
Min length	1

Characters and Unicode

Total characters	114337
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	C01
2nd row	C01
3rd row	C01
4th row	A01
5th row	A01

Value	Count	Frequency (%)
C01	24021	63.0%
D02	3695	9.7%
B01	2791	7.3%
D01	2016	5.3%
E01	1724	4.5%
G01	1557	4.1%
B03	1456	3.8%
E02	244	0.6%
A02	191	0.5%
B04	145	0.4%
Other values (5)	273	0.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
c01	24021	63.0%
d02	3695	9.7%
b01	2791	7.3%
d01	2016	5.3%
e01	1724	4.5%
g01	1557	4.1%
b03	1456	3.8%
e02	244	0.6%
a02	191	0.5%
b04	145	0.4%
Other values (5)	273	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	38113	33.3%
1	32298	28.2%
C	24021	21.0%
D	5711	5.0%
B	4392	3.8%
2	4213	3.7%
E	1968	1.7%
G	1557	1.4%
3	1456	1.3%
A	256	0.2%
Other values (3)	352	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	76225	66.7%
Uppercase Letter	38112	33.3%

Most frequent character per category

Value	Count	Frequency (%)
C	24021	63.0%
D	5711	15.0%
B	4392	11.5%
E	1968	5.2%
G	1557	4.1%
A	256	0.7%
H	161	0.4%
F	46	0.1%

Value	Count	Frequency (%)
0	38113	50.0%
1	32298	42.4%
2	4213	5.5%
3	1456	1.9%
4	145	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	76225	66.7%
Latin	38112	33.3%

Most frequent character per script

Value	Count	Frequency (%)
C	24021	63.0%
D	5711	15.0%
B	4392	11.5%
E	1968	5.2%
G	1557	4.1%
A	256	0.7%
H	161	0.4%
F	46	0.1%

Value	Count	Frequency (%)
0	38113	50.0%
1	32298	42.4%
2	4213	5.5%
3	1456	1.9%
4	145	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	114337	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	38113	33.3%
1	32298	28.2%
C	24021	21.0%
D	5711	5.0%
B	4392	3.8%
2	4213	3.7%
E	1968	1.7%
G	1557	1.4%
3	1456	1.3%
A	256	0.2%
Other values (3)	352	0.3%

Type of Aid Name
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

Project-type interventions	24021
Other technical assistance	3695
Core support to NGOs, other private bodies, PPPs and research institutes	2791
Donor country personnel	2016
Scholarships/training in donor country	1724
Other values (10)	3866

Length

Max length	87
Median length	26
Mean length	32.72361137
Min length	11

Characters and Unicode

Total characters	1247195
Distinct characters	38
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Project-type interventions
2nd row	Project-type interventions
3rd row	Project-type interventions
4th row	General budget support
5th row	General budget support

Value	Count	Frequency (%)
Project-type interventions	24021	63.0%
Other technical assistance	3695	9.7%
Core support to NGOs, other private bodies, PPPs and research institutes	2791	7.3%
Donor country personnel	2016	5.3%
Scholarships/training in donor country	1724	4.5%
Administrative costs not included elsewhere	1557	4.1%
Contributions to specific-purpose programmes and funds managed by implementing partners	1456	3.8%
Imputed student costs	244	0.6%
Sector budget support	191	0.5%
Basket funds/pooled funding	145	0.4%
Other values (5)	273	0.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
interventions	24021	18.8%
project-type	24021	18.8%
other	6486	5.1%
to	4247	3.3%
and	4247	3.3%
donor	3823	3.0%
country	3740	2.9%
assistance	3695	2.9%
technical	3695	2.9%
support	3047	2.4%
Other values (39)	46695	36.6%

Most occurring characters

Value	Count	Frequency (%)
e	152737	12.2%
t	147710	11.8%
n	119187	9.6%
r	94162	7.5%
	89604	7.2%
i	88814	7.1%
o	88660	7.1%
s	76920	6.2%
c	49906	4.0%
p	45851	3.7%
Other values (28)	293644	23.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1069721	85.8%
Space Separator	89604	7.2%
Uppercase Letter	54859	4.4%
Dash Punctuation	25477	2.0%
Other Punctuation	7534	0.6%

Most frequent character per category

Value	Count	Frequency (%)
e	152737	14.3%
t	147710	13.8%
n	119187	11.1%
r	94162	8.8%
i	88814	8.3%
o	88660	8.3%
s	76920	7.2%
c	49906	4.7%
p	45851	4.3%
a	32194	3.0%
Other values (13)	173580	16.2%

Value	Count	Frequency (%)
P	32394	59.0%
O	6486	11.8%
C	4247	7.7%
G	2856	5.2%
N	2792	5.1%
D	2140	3.9%
S	1915	3.5%
A	1557	2.8%
I	244	0.4%
B	145	0.3%

Value	Count	Frequency (%)
,	5582	74.1%
/	1952	25.9%

Value	Count	Frequency (%)
-	25477	100.0%

Value	Count	Frequency (%)
	89604	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1124580	90.2%
Common	122615	9.8%

Most frequent character per script

Value	Count	Frequency (%)
e	152737	13.6%
t	147710	13.1%
n	119187	10.6%
r	94162	8.4%
i	88814	7.9%
o	88660	7.9%
s	76920	6.8%
c	49906	4.4%
p	45851	4.1%
P	32394	2.9%
Other values (24)	228239	20.3%

Value	Count	Frequency (%)
	89604	73.1%
-	25477	20.8%
,	5582	4.6%
/	1952	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1247195	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	152737	12.2%
t	147710	11.8%
n	119187	9.6%
r	94162	7.5%
	89604	7.2%
i	88814	7.1%
o	88660	7.1%
s	76920	6.2%
c	49906	4.0%
p	45851	3.7%
Other values (28)	293644	23.5%

Short Description
Categorical

HIGH CARDINALITY

Distinct	16224
Distinct (%)	42.6%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

TC AGGREGATED ACTIVITIES	3303
ADMINISTRATION AND OVERSIGHT	866
PROTECTION, ASSISTANCE AND SOLUTIONS	346
ADMINISTRATIVE COSTS	324
PEACE CORPS, FK NORWAY, PERSONNEL EXCHANGE	303
Other values (16219)	32971

Length

Max length	150
Median length	42
Mean length	52.82858867
Min length	2

Characters and Unicode

Total characters	2013456
Distinct characters	76
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12764 ?
Unique (%)	33.5%

Sample

1st row	7KEN14710 DEEPENING PEACE
2nd row	3KEN GOVERNANCE FOR DRR
3rd row	DROUGHT RESPONSE & RESILIENCE
4th row	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)
5th row	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)

Value	Count	Frequency (%)
TC AGGREGATED ACTIVITIES	3303	8.7%
ADMINISTRATION AND OVERSIGHT	866	2.3%
PROTECTION, ASSISTANCE AND SOLUTIONS	346	0.9%
ADMINISTRATIVE COSTS	324	0.9%
PEACE CORPS, FK NORWAY, PERSONNEL EXCHANGE	303	0.8%
CONTRIBUTIONS DES COMMUNES DU CANTON DE GEN+VE	292	0.8%
HHS/CDC: UNSPECIFIED GRANTS	210	0.6%
PROGRAM DESIGN AND LEARNING	208	0.5%
HIV/AIDS - ASSISTANCE FOR HIV/AIDS	169	0.4%
DIRECT AID PROGRAM (DAP) 2016-17	137	0.4%
Other values (16214)	31955	83.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
and	11067	4.1%
	8038	2.9%
of	5697	2.1%
in	5644	2.1%
for	5530	2.0%
the	4203	1.5%
de	4141	1.5%
activities	3533	1.3%
aggregated	3342	1.2%
tc	3304	1.2%
Other values (17437)	218600	80.0%

Most occurring characters

Value	Count	Frequency (%)
	236041	11.7%
E	185103	9.2%
A	155398	7.7%
I	152907	7.6%
N	140616	7.0%
T	137598	6.8%
R	118417	5.9%
O	118052	5.9%
S	111460	5.5%
C	85506	4.2%
Other values (66)	572358	28.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1689860	83.9%
Space Separator	236041	11.7%
Decimal Number	29914	1.5%
Other Punctuation	22125	1.1%
Dash Punctuation	12250	0.6%
Math Symbol	9255	0.5%
Open Punctuation	5043	0.3%
Close Punctuation	4987	0.2%
Connector Punctuation	3044	0.2%
Other Symbol	496	< 0.1%
Other values (5)	441	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
E	185103	11.0%
A	155398	9.2%
I	152907	9.0%
N	140616	8.3%
T	137598	8.1%
R	118417	7.0%
O	118052	7.0%
S	111460	6.6%
C	85506	5.1%
D	65255	3.9%
Other values (20)	419548	24.8%

Value	Count	Frequency (%)
,	5892	26.6%
/	3929	17.8%
:	3786	17.1%
.	3462	15.6%
'	3446	15.6%
&	1354	6.1%
;	82	0.4%
?	73	0.3%
!	33	0.1%
*	32	0.1%
Other values (3)	36	0.2%

Value	Count	Frequency (%)
2	7622	25.5%
1	7045	23.6%
0	6267	21.0%
7	2573	8.6%
3	1359	4.5%
5	1225	4.1%
4	1142	3.8%
6	1105	3.7%
8	970	3.2%
9	606	2.0%

Value	Count	Frequency (%)
û	266	85.8%
á	20	6.5%
î	16	5.2%
é	4	1.3%
â	2	0.6%
ÿ	1	0.3%
ù	1	0.3%

Value	Count	Frequency (%)
+	9253	> 99.9%
=	1	< 0.1%
>	1	< 0.1%

Value	Count	Frequency (%)
(	4981	98.8%
[	62	1.2%

Value	Count	Frequency (%)
)	4934	98.9%
]	53	1.1%

Value	Count	Frequency (%)
`	117	99.2%
¯	1	0.8%

Value	Count	Frequency (%)
	236041	100.0%

Value	Count	Frequency (%)
-	12250	100.0%

Value	Count	Frequency (%)
_	3044	100.0%

Value	Count	Frequency (%)
¦	496	100.0%

Value	Count	Frequency (%)
½	7	100.0%

Value	Count	Frequency (%)
$	1	100.0%

Value	Count	Frequency (%)
«	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1690170	83.9%
Common	323286	16.1%

Most frequent character per script

Value	Count	Frequency (%)
	236041	73.0%
-	12250	3.8%
+	9253	2.9%
2	7622	2.4%
1	7045	2.2%
0	6267	1.9%
,	5892	1.8%
(	4981	1.5%
)	4934	1.5%
/	3929	1.2%
Other values (29)	25072	7.8%

Value	Count	Frequency (%)
E	185103	11.0%
A	155398	9.2%
I	152907	9.0%
N	140616	8.3%
T	137598	8.1%
R	118417	7.0%
O	118052	7.0%
S	111460	6.6%
C	85506	5.1%
D	65255	3.9%
Other values (27)	419858	24.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2012570	> 99.9%
None	886	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	236041	11.7%
E	185103	9.2%
A	155398	7.7%
I	152907	7.6%
N	140616	7.0%
T	137598	6.8%
R	118417	5.9%
O	118052	5.9%
S	111460	5.5%
C	85506	4.2%
Other values (51)	571472	28.4%

Value	Count	Frequency (%)
¦	496	56.0%
û	266	30.0%
Ç	52	5.9%
á	20	2.3%
î	16	1.8%
É	13	1.5%
½	7	0.8%
«	5	0.6%
é	4	0.5%
â	2	0.2%
Other values (5)	5	0.6%

Project title
Categorical

HIGH CARDINALITY
MISSING

Distinct	16347
Distinct (%)	43.6%
Missing	654
Missing (%)	1.7%
Memory size	297.9 KiB

TC AGGREGATED ACTIVITIES	3303
Administration and Oversight	866
Protection, Assistance and Solutions	346
Administrative costs	322
Peace Corps, FK Norway, personnel exchange	303
Other values (16342)	32319

Length

Max length	255
Median length	42
Mean length	54.53853547
Min length	1

Characters and Unicode

Total characters	2042959
Distinct characters	109
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13052 ?
Unique (%)	34.8%

Sample

1st row	7KEN14710 Deepening Peace
2nd row	3KEN Governance for DRR
3rd row	Drought Response & Resilience
4th row	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)
5th row	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)

Value	Count	Frequency (%)
TC AGGREGATED ACTIVITIES	3303	8.7%
Administration and Oversight	866	2.3%
Protection, Assistance and Solutions	346	0.9%
Administrative costs	322	0.8%
Peace Corps, FK Norway, personnel exchange	303	0.8%
Contributions des communes du Canton de GenFve	292	0.8%
HHS/CDC: Unspecified Grants	210	0.6%
Program Design and Learning	208	0.5%
HIV/AIDS - Assistance for HIV/AIDS	169	0.4%
Direct Aid Program (DAP) 2016-17	137	0.4%
Other values (16337)	31303	82.1%
(Missing)	654	1.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
and	10893	3.9%
	7159	2.6%
of	5855	2.1%
in	5774	2.1%
for	5530	2.0%
de	4559	1.6%
the	4282	1.5%
activities	3535	1.3%
aggregated	3342	1.2%
tc	3305	1.2%
Other values (18078)	223386	80.5%

Most occurring characters

Value	Count	Frequency (%)
	241199	11.8%
e	156151	7.6%
n	127964	6.3%
i	123542	6.0%
a	120433	5.9%
t	111526	5.5%
o	106037	5.2%
r	99865	4.9%
s	83236	4.1%
l	54973	2.7%
Other values (99)	818033	40.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1351836	66.2%
Uppercase Letter	370675	18.1%
Space Separator	241199	11.8%
Decimal Number	30512	1.5%
Other Punctuation	22638	1.1%
Dash Punctuation	12107	0.6%
Open Punctuation	5099	0.2%
Close Punctuation	5018	0.2%
Connector Punctuation	3039	0.1%
Math Symbol	635	< 0.1%
Other values (5)	201	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	156151	11.6%
n	127964	9.5%
i	123542	9.1%
a	120433	8.9%
t	111526	8.2%
o	106037	7.8%
r	99865	7.4%
s	83236	6.2%
l	54973	4.1%
c	53968	4.0%
Other values (25)	314141	23.2%

Value	Count	Frequency (%)
A	38271	10.3%
T	35761	9.6%
E	32295	8.7%
C	31939	8.6%
I	31060	8.4%
S	30122	8.1%
P	20612	5.6%
R	19570	5.3%
G	17681	4.8%
D	16161	4.4%
Other values (20)	97203	26.2%

Value	Count	Frequency (%)
,	6182	27.3%
/	3923	17.3%
:	3771	16.7%
'	3701	16.3%
.	3519	15.5%
&	1340	5.9%
?	75	0.3%
!	33	0.1%
*	32	0.1%
;	31	0.1%
Other values (4)	31	0.1%

Value	Count	Frequency (%)
2	7777	25.5%
1	7165	23.5%
0	6465	21.2%
7	2658	8.7%
3	1362	4.5%
5	1251	4.1%
4	1122	3.7%
6	1111	3.6%
8	987	3.2%
9	614	2.0%

Value	Count	Frequency (%)
+	575	90.6%
±	26	4.1%
=	24	3.8%
÷	9	1.4%
>	1	0.2%

Value	Count	Frequency (%)
(	5037	98.8%
[	62	1.2%

Value	Count	Frequency (%)
)	4965	98.9%
]	53	1.1%

Value	Count	Frequency (%)
£	20	95.2%
$	1	4.8%

Value	Count	Frequency (%)
¦	30	60.0%
°	20	40.0%

Value	Count	Frequency (%)
`	117	99.2%
¯	1	0.8%

Value	Count	Frequency (%)
	241199	100.0%

Value	Count	Frequency (%)
-	12107	100.0%

Value	Count	Frequency (%)
_	3039	100.0%

Value	Count	Frequency (%)
½	7	100.0%

Value	Count	Frequency (%)
«	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1722505	84.3%
Common	320454	15.7%

Most frequent character per script

Value	Count	Frequency (%)
e	156151	9.1%
n	127964	7.4%
i	123542	7.2%
a	120433	7.0%
t	111526	6.5%
o	106037	6.2%
r	99865	5.8%
s	83236	4.8%
l	54973	3.2%
c	53968	3.1%
Other values (54)	684810	39.8%

Value	Count	Frequency (%)
	241199	75.3%
-	12107	3.8%
2	7777	2.4%
1	7165	2.2%
0	6465	2.0%
,	6182	1.9%
(	5037	1.6%
)	4965	1.5%
/	3923	1.2%
:	3771	1.2%
Other values (35)	21863	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2042440	> 99.9%
None	519	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	241199	11.8%
e	156151	7.6%
n	127964	6.3%
i	123542	6.0%
a	120433	5.9%
t	111526	5.5%
o	106037	5.2%
r	99865	4.9%
s	83236	4.1%
l	54973	2.7%
Other values (77)	817514	40.0%

Value	Count	Frequency (%)
û	280	53.9%
Ç	52	10.0%
¦	30	5.8%
á	27	5.2%
±	26	5.0%
£	20	3.9%
°	20	3.9%
É	13	2.5%
÷	9	1.7%
½	7	1.3%
Other values (12)	35	6.7%

Purpose Code
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	186
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	29217.93044
Minimum	11110
Maximum	99820
Zeros	0
Zeros (%)	0.0%
Memory size	297.9 KiB

Quantile statistics

Minimum	11110
5-th percentile	11220
Q1	12262
median	15220
Q3	41020
95-th percentile	91010
Maximum	99820
Range	88710
Interquartile range (IQR)	28758

Descriptive statistics

Standard deviation	23669.90093
Coefficient of variation (CV)	0.8101155891
Kurtosis	1.068871334
Mean	29217.93044
Median Absolute Deviation (MAD)	4000
Skewness	1.467369454
Sum	1113582983
Variance	560264210.2
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
43010	1836	4.8%
11420	1623	4.3%
91010	1561	4.1%
13040	1495	3.9%
72010	1374	3.6%
11220	941	2.5%
12220	931	2.4%
31120	923	2.4%
15150	834	2.2%
31110	819	2.1%
Other values (176)	25776	67.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
11110	480	1.3%
11120	761	2.0%
11130	297	0.8%
11182	21	0.1%
11220	941	2.5%

Value	Count	Frequency (%)
99820	72	0.2%
99810	385	1.0%
93010	83	0.2%
91010	1561	4.1%
74020	346	0.9%

Purpose Name
Categorical

HIGH CARDINALITY

Distinct	186
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

Multisector aid	1836
Higher education	1623
Administrative costs (non-sector allocable)	1561
STD control including HIV/AIDS	1495
Material relief assistance and services	1374
Other values (181)	30224

Length

Max length	75
Median length	28
Mean length	30.07343951
Min length	7

Characters and Unicode

Total characters	1146189
Distinct characters	53
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	Multi-hazard response preparedness
2nd row	Multi-hazard response preparedness
3rd row	Multi-hazard response preparedness
4th row	General budget support-related aid
5th row	General budget support-related aid

Value	Count	Frequency (%)
Multisector aid	1836	4.8%
Higher education	1623	4.3%
Administrative costs (non-sector allocable)	1561	4.1%
STD control including HIV/AIDS	1495	3.9%
Material relief assistance and services	1374	3.6%
Primary education	941	2.5%
Basic health care	931	2.4%
Agricultural development	923	2.4%
Democratic participation and civil society	834	2.2%
Agricultural policy and administrative management	819	2.1%
Other values (176)	25776	67.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
and	13784	10.3%
administrative	6477	4.8%
management	5388	4.0%
policy	5277	3.9%
education	4492	3.4%
basic	3424	2.6%
health	3069	2.3%
services	2878	2.2%
control	2734	2.0%
agricultural	2733	2.0%
Other values (286)	83343	62.4%

Most occurring characters

Value	Count	Frequency (%)
i	109667	9.6%
a	99590	8.7%
	96943	8.5%
e	95639	8.3%
n	91166	8.0%
t	84852	7.4%
r	64196	5.6%
o	63751	5.6%
c	59562	5.2%
s	57357	5.0%
Other values (43)	323466	28.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	980180	85.5%
Space Separator	96943	8.5%
Uppercase Letter	55075	4.8%
Dash Punctuation	5202	0.5%
Other Punctuation	4119	0.4%
Open Punctuation	2335	0.2%
Close Punctuation	2335	0.2%

Most frequent character per category

Value	Count	Frequency (%)
i	109667	11.2%
a	99590	10.2%
e	95639	9.8%
n	91166	9.3%
t	84852	8.7%
r	64196	6.5%
o	63751	6.5%
c	59562	6.1%
s	57357	5.9%
l	51899	5.3%
Other values (16)	202501	20.7%

Value	Count	Frequency (%)
A	6556	11.9%
M	5672	10.3%
S	5406	9.8%
H	4972	9.0%
E	4407	8.0%
D	4282	7.8%
I	4248	7.7%
B	3646	6.6%
P	3616	6.6%
T	2601	4.7%
Other values (10)	9669	17.6%

Value	Count	Frequency (%)
/	3075	74.7%
,	762	18.5%
'	282	6.8%

Value	Count	Frequency (%)
-	5202	100.0%

Value	Count	Frequency (%)
	96943	100.0%

Value	Count	Frequency (%)
(	2335	100.0%

Value	Count	Frequency (%)
)	2335	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1035255	90.3%
Common	110934	9.7%

Most frequent character per script

Value	Count	Frequency (%)
i	109667	10.6%
a	99590	9.6%
e	95639	9.2%
n	91166	8.8%
t	84852	8.2%
r	64196	6.2%
o	63751	6.2%
c	59562	5.8%
s	57357	5.5%
l	51899	5.0%
Other values (36)	257576	24.9%

Value	Count	Frequency (%)
	96943	87.4%
-	5202	4.7%
/	3075	2.8%
(	2335	2.1%
)	2335	2.1%
,	762	0.7%
'	282	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1146189	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	109667	9.6%
a	99590	8.7%
	96943	8.5%
e	95639	8.3%
n	91166	8.0%
t	84852	7.4%
r	64196	5.6%
o	63751	5.6%
c	59562	5.2%
s	57357	5.0%
Other values (43)	323466	28.2%

Sector
Categorical

HIGH CORRELATION

Distinct	41
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

I.5.a. Government & Civil Society-general	4019
I.2.b. Basic Health	3283
III.1.a. Agriculture	3229
IV.2. Other Multisector	2908
VIII.1. Emergency Response	2849
Other values (36)	21825

Length

Max length	57
Median length	30
Mean length	30.94936111
Min length	16

Characters and Unicode

Total characters	1179573
Distinct characters	55
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	VIII.3. Disaster Prevention & Preparedness
2nd row	VIII.3. Disaster Prevention & Preparedness
3rd row	VIII.3. Disaster Prevention & Preparedness
4th row	VI.1. General Budget Support
5th row	VI.1. General Budget Support

Value	Count	Frequency (%)
I.5.a. Government & Civil Society-general	4019	10.5%
I.2.b. Basic Health	3283	8.6%
III.1.a. Agriculture	3229	8.5%
IV.2. Other Multisector	2908	7.6%
VIII.1. Emergency Response	2849	7.5%
I.3. Population Policies/Programmes & Reproductive Health	2771	7.3%
I.6. Other Social Infrastructure & Services	2042	5.4%
I.1.d. Post-Secondary Education	1693	4.4%
I.4. Water Supply & Sanitation	1627	4.3%
Administrative Costs of Donors	1561	4.1%
Other values (31)	12131	31.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
	13785	9.4%
health	7479	5.1%
education	5360	3.6%
other	5316	3.6%
basic	4630	3.1%
civil	4019	2.7%
society-general	4019	2.7%
government	4019	2.7%
i.5.a	4019	2.7%
i.2.b	3283	2.2%
Other values (112)	91237	62.0%

Most occurring characters

Value	Count	Frequency (%)
	109053	9.2%
e	102550	8.7%
.	92732	7.9%
t	67063	5.7%
i	66583	5.6%
r	62366	5.3%
a	60648	5.1%
o	57924	4.9%
I	56911	4.8%
n	56009	4.7%
Other values (45)	447734	38.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	753960	63.9%
Uppercase Letter	161374	13.7%
Other Punctuation	113498	9.6%
Space Separator	109053	9.2%
Decimal Number	35965	3.0%
Dash Punctuation	5723	0.5%

Most frequent character per category

Value	Count	Frequency (%)
e	102550	13.6%
t	67063	8.9%
i	66583	8.8%
r	62366	8.3%
a	60648	8.0%
o	57924	7.7%
n	56009	7.4%
c	47388	6.3%
s	40665	5.4%
l	39360	5.2%
Other values (12)	153404	20.3%

Value	Count	Frequency (%)
I	56911	35.3%
S	15810	9.8%
P	13432	8.3%
E	10156	6.3%
V	7977	4.9%
H	7480	4.6%
C	6827	4.2%
G	6775	4.2%
R	6607	4.1%
B	5336	3.3%
Other values (11)	24063	14.9%

Value	Count	Frequency (%)
1	13542	37.7%
2	8996	25.0%
5	5253	14.6%
3	4248	11.8%
6	2042	5.7%
4	1884	5.2%

Value	Count	Frequency (%)
.	92732	81.7%
&	13328	11.7%
,	4210	3.7%
/	3228	2.8%

Value	Count	Frequency (%)
	109053	100.0%

Value	Count	Frequency (%)
-	5723	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	915334	77.6%
Common	264239	22.4%

Most frequent character per script

Value	Count	Frequency (%)
e	102550	11.2%
t	67063	7.3%
i	66583	7.3%
r	62366	6.8%
a	60648	6.6%
o	57924	6.3%
I	56911	6.2%
n	56009	6.1%
c	47388	5.2%
s	40665	4.4%
Other values (33)	297227	32.5%

Value	Count	Frequency (%)
	109053	41.3%
.	92732	35.1%
1	13542	5.1%
&	13328	5.0%
2	8996	3.4%
-	5723	2.2%
5	5253	2.0%
3	4248	1.6%
,	4210	1.6%
/	3228	1.2%
Other values (2)	3926	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1179573	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	109053	9.2%
e	102550	8.7%
.	92732	7.9%
t	67063	5.7%
i	66583	5.6%
r	62366	5.3%
a	60648	5.1%
o	57924	4.9%
I	56911	4.8%
n	56009	4.7%
Other values (45)	447734	38.0%

Long Description
Categorical

HIGH CARDINALITY
MISSING

Distinct	14502
Distinct (%)	43.2%
Missing	4534
Missing (%)	11.9%
Memory size	297.9 KiB

TC AGGREGATED ACTIVITIES	3303
Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.	887
Decentralised Development Cooperation	865
The provision of effective protection, assistance, and durable solutions for refugees, internally displaced persons (IDPs), and other victims of conflict and disasters.	381
Administrative costs	318
Other values (14497)	27825

Length

Max length	3000
Median length	122
Mean length	306.2483695
Min length	1

Characters and Unicode

Total characters	10283514
Distinct characters	115
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12047 ?
Unique (%)	35.9%

Sample

1st row	The project was designed to contribute to Peacebuilding, Cohesion and Community Security in Kenya
2nd row	The project is designed to contribute to Effective Governance for Disaster Risk Reduction at National and County levels. This will be achieved through strengthening institutional capacity, legislative and policy frameworks.
3rd row	Drought Response, Early Recovery and Resilience in arid and semi-arid counties of Kenya
4th row	Civil Society Programme Funding: Marginalised women and girls have increased access to and control over assets an d resources, and increase thei r participation in decision-ma king at all levels, while miti gating threats of gender based violence or intimidation.
5th row	Civil Society Programme Funding: Marginalised women and men facing violence have gr eater safety, security and res ilience, and inclusive peace b uilding initiatives contribute to lasting justice.

Value	Count	Frequency (%)
TC AGGREGATED ACTIVITIES	3303	8.7%
Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.	887	2.3%
Decentralised Development Cooperation	865	2.3%
The provision of effective protection, assistance, and durable solutions for refugees, internally displaced persons (IDPs), and other victims of conflict and disasters.	381	1.0%
Administrative costs	318	0.8%
Develop and conduct needs assessments, baseline studies, targeted evaluations, special studies or other information-gathering efforts specifically for the design, monitoring and evaluation of USG-funded programs. This sub-element may also include developing and disseminating best practices and lessons learned, testing demonstration and/or pilot models, or the preparation of strategic plans and other short-term programming tasks. Note: All such activities that are carried out by partners as an integral part of their monitoring and evaluation efforts for programs funded under other sub-elements should be included within those sub-elements.	230	0.6%
HHS/CDC: CDC	210	0.6%
0	184	0.5%
PEPFAR: Reduce the transmission and impact of HIV/AIDS through support for prevention, care and treatment programs. - Assistance for HIV/AIDS	169	0.4%
The Direct Aid Program (DAP) is a small-grants scheme administered by the Department of Foreign Affairs & Trade (DFAT) through Australia's diplomatic posts in developing countries. DAP's objective is to advance developmental outcomes in ODA-eligible countries with projects primarily focussed on practical and tangible results. It supports Australia's wider foreign and trade policy interests and public diplomacy objectives. The total value of this multi-country initiative is $22 million expensed over the 2016-17 financial year.	137	0.4%
Other values (14492)	26895	70.6%
(Missing)	4534	11.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
and	77547	5.3%
the	57124	3.9%
of	42576	2.9%
to	35222	2.4%
de	25727	1.8%
in	25203	1.7%
a	17482	1.2%
for	16310	1.1%
et	14008	1.0%
la	12873	0.9%
Other values (40217)	1140935	77.9%

Most occurring characters

Value	Count	Frequency (%)
	1435649	14.0%
e	952962	9.3%
a	695859	6.8%
i	694588	6.8%
n	683270	6.6%
t	676665	6.6%
o	590862	5.7%
s	553350	5.4%
r	535532	5.2%
l	356673	3.5%
Other values (105)	3108104	30.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8029577	78.1%
Space Separator	1435649	14.0%
Uppercase Letter	503974	4.9%
Other Punctuation	178466	1.7%
Decimal Number	60489	0.6%
Dash Punctuation	29623	0.3%
Close Punctuation	20775	0.2%
Open Punctuation	17324	0.2%
Math Symbol	5436	0.1%
Currency Symbol	1139	< 0.1%
Other values (5)	1062	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	952962	11.9%
a	695859	8.7%
i	694588	8.7%
n	683270	8.5%
t	676665	8.4%
o	590862	7.4%
s	553350	6.9%
r	535532	6.7%
l	356673	4.4%
c	333037	4.1%
Other values (27)	1956779	24.4%

Value	Count	Frequency (%)
T	78081	15.5%
A	51287	10.2%
S	49021	9.7%
C	39961	7.9%
I	37450	7.4%
E	30884	6.1%
D	24109	4.8%
P	24057	4.8%
G	23195	4.6%
R	20443	4.1%
Other values (20)	125486	24.9%

Value	Count	Frequency (%)
,	85831	48.1%
.	45155	25.3%
'	19987	11.2%
;	10082	5.6%
:	9060	5.1%
/	5670	3.2%
&	983	0.6%
?	807	0.5%
%	436	0.2%
·	332	0.2%
Other values (5)	123	0.1%

Value	Count	Frequency (%)
0	15148	25.0%
1	12855	21.3%
2	10594	17.5%
3	4850	8.0%
5	4038	6.7%
4	3564	5.9%
7	3249	5.4%
6	2938	4.9%
8	1680	2.8%
9	1573	2.6%

Value	Count	Frequency (%)
=	3922	72.1%
+	760	14.0%
±	656	12.1%
~	39	0.7%
<	19	0.3%
÷	19	0.3%
>	16	0.3%
¬	5	0.1%

Value	Count	Frequency (%)
(	17033	98.3%
[	291	1.7%

Value	Count	Frequency (%)
)	20484	98.6%
]	291	1.4%

Value	Count	Frequency (%)
$	721	63.3%
£	418	36.7%

Value	Count	Frequency (%)
`	60	93.8%
¯	4	6.2%

Value	Count	Frequency (%)
¦	31	96.9%
°	1	3.1%

Value	Count	Frequency (%)
	1435649	100.0%

Value	Count	Frequency (%)
-	29623	100.0%

Value	Count	Frequency (%)
_	896	100.0%

Value	Count	Frequency (%)
½	61	100.0%

Value	Count	Frequency (%)
«	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8533551	83.0%
Common	1749963	17.0%

Most frequent character per script

Value	Count	Frequency (%)
e	952962	11.2%
a	695859	8.2%
i	694588	8.1%
n	683270	8.0%
t	676665	7.9%
o	590862	6.9%
s	553350	6.5%
r	535532	6.3%
l	356673	4.2%
c	333037	3.9%
Other values (57)	2460753	28.8%

Value	Count	Frequency (%)
	1435649	82.0%
,	85831	4.9%
.	45155	2.6%
-	29623	1.7%
)	20484	1.2%
'	19987	1.1%
(	17033	1.0%
0	15148	0.9%
1	12855	0.7%
2	10594	0.6%
Other values (38)	57604	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10280010	> 99.9%
None	3504	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	1435649	14.0%
e	952962	9.3%
a	695859	6.8%
i	694588	6.8%
n	683270	6.6%
t	676665	6.6%
o	590862	5.7%
s	553350	5.4%
r	535532	5.2%
l	356673	3.5%
Other values (79)	3104600	30.2%

Value	Count	Frequency (%)
ß	1204	34.4%
±	656	18.7%
£	418	11.9%
û	336	9.6%
·	332	9.5%
ò	200	5.7%
á	70	2.0%
½	61	1.7%
Ç	58	1.7%
ù	47	1.3%
Other values (16)	122	3.5%

SDG Focus
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	38113
Missing (%)	100.0%
Memory size	297.9 KiB

Gender equality
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	7651
Missing (%)	20.1%
Memory size	297.9 KiB

0.0	16651
1.0	11232
2.0	2579

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	91386
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	1.0
4th row	2.0
5th row	1.0

Value	Count	Frequency (%)
0.0	16651	43.7%
1.0	11232	29.5%
2.0	2579	6.8%
(Missing)	7651	20.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	16651	54.7%
1.0	11232	36.9%
2.0	2579	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	47113	51.6%
.	30462	33.3%
1	11232	12.3%
2	2579	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	60924	66.7%
Other Punctuation	30462	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	47113	77.3%
1	11232	18.4%
2	2579	4.2%

Value	Count	Frequency (%)
.	30462	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	91386	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	47113	51.6%
.	30462	33.3%
1	11232	12.3%
2	2579	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	91386	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	47113	51.6%
.	30462	33.3%
1	11232	12.3%
2	2579	2.8%

Environment
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	12288
Missing (%)	32.2%
Memory size	297.9 KiB

0.0	19577
1.0	3855
2.0	2393

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	77475
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	2.0
5th row	1.0

Value	Count	Frequency (%)
0.0	19577	51.4%
1.0	3855	10.1%
2.0	2393	6.3%
(Missing)	12288	32.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	19577	75.8%
1.0	3855	14.9%
2.0	2393	9.3%

Most occurring characters

Value	Count	Frequency (%)
0	45402	58.6%
.	25825	33.3%
1	3855	5.0%
2	2393	3.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	51650	66.7%
Other Punctuation	25825	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	45402	87.9%
1	3855	7.5%
2	2393	4.6%

Value	Count	Frequency (%)
.	25825	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	77475	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	45402	58.6%
.	25825	33.3%
1	3855	5.0%
2	2393	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77475	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	45402	58.6%
.	25825	33.3%
1	3855	5.0%
2	2393	3.1%

PDGG
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	12378
Missing (%)	32.5%
Memory size	297.9 KiB

0.0	17054
2.0	4922
1.0	3759

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	77205
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	2.0

Value	Count	Frequency (%)
0.0	17054	44.7%
2.0	4922	12.9%
1.0	3759	9.9%
(Missing)	12378	32.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	17054	66.3%
2.0	4922	19.1%
1.0	3759	14.6%

Most occurring characters

Value	Count	Frequency (%)
0	42789	55.4%
.	25735	33.3%
2	4922	6.4%
1	3759	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	51470	66.7%
Other Punctuation	25735	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	42789	83.1%
2	4922	9.6%
1	3759	7.3%

Value	Count	Frequency (%)
.	25735	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	77205	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	42789	55.4%
.	25735	33.3%
2	4922	6.4%
1	3759	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	77205	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	42789	55.4%
.	25735	33.3%
2	4922	6.4%
1	3759	4.9%

Trade Development
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	17339
Missing (%)	45.5%
Memory size	297.9 KiB

0.0	19171
1.0	847
2.0	756

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	62322
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Value	Count	Frequency (%)
0.0	19171	50.3%
1.0	847	2.2%
2.0	756	2.0%
(Missing)	17339	45.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	19171	92.3%
1.0	847	4.1%
2.0	756	3.6%

Most occurring characters

Value	Count	Frequency (%)
0	39945	64.1%
.	20774	33.3%
1	847	1.4%
2	756	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	41548	66.7%
Other Punctuation	20774	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	39945	96.1%
1	847	2.0%
2	756	1.8%

Value	Count	Frequency (%)
.	20774	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	62322	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	39945	64.1%
.	20774	33.3%
1	847	1.4%
2	756	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62322	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	39945	64.1%
.	20774	33.3%
1	847	1.4%
2	756	1.2%

RMNCH
Categorical

HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	14440
Missing (%)	37.9%
Memory size	297.9 KiB

0.0	20829
1.0	1120
2.0	983
4.0	685
3.0	56

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	71019
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4.0
2nd row	4.0
3rd row	0.0
4th row	1.0
5th row	0.0

Value	Count	Frequency (%)
0.0	20829	54.7%
1.0	1120	2.9%
2.0	983	2.6%
4.0	685	1.8%
3.0	56	0.1%
(Missing)	14440	37.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	20829	88.0%
1.0	1120	4.7%
2.0	983	4.2%
4.0	685	2.9%
3.0	56	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	44502	62.7%
.	23673	33.3%
1	1120	1.6%
2	983	1.4%
4	685	1.0%
3	56	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	47346	66.7%
Other Punctuation	23673	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	44502	94.0%
1	1120	2.4%
2	983	2.1%
4	685	1.4%
3	56	0.1%

Value	Count	Frequency (%)
.	23673	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	71019	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	44502	62.7%
.	23673	33.3%
1	1120	1.6%
2	983	1.4%
4	685	1.0%
3	56	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	71019	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	44502	62.7%
.	23673	33.3%
1	1120	1.6%
2	983	1.4%
4	685	1.0%
3	56	0.1%

DRR
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	38113
Missing (%)	100.0%
Memory size	297.9 KiB

Nutrition
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	38113
Missing (%)	100.0%
Memory size	297.9 KiB

Disability
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	38113
Missing (%)	100.0%
Memory size	297.9 KiB

Biodiversity
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	12865
Missing (%)	33.8%
Memory size	297.9 KiB

0.0	23094
1.0	1168
2.0	986

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	75744
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	23094	60.6%
1.0	1168	3.1%
2.0	986	2.6%
(Missing)	12865	33.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	23094	91.5%
1.0	1168	4.6%
2.0	986	3.9%

Most occurring characters

Value	Count	Frequency (%)
0	48342	63.8%
.	25248	33.3%
1	1168	1.5%
2	986	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50496	66.7%
Other Punctuation	25248	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	48342	95.7%
1	1168	2.3%
2	986	2.0%

Value	Count	Frequency (%)
.	25248	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	75744	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	48342	63.8%
.	25248	33.3%
1	1168	1.5%
2	986	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	75744	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	48342	63.8%
.	25248	33.3%
1	1168	1.5%
2	986	1.3%

Climate Mitigation
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	11323
Missing (%)	29.7%
Memory size	297.9 KiB

0.0	24869
1.0	1164
2.0	757

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	80370
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	24869	65.3%
1.0	1164	3.1%
2.0	757	2.0%
(Missing)	11323	29.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	24869	92.8%
1.0	1164	4.3%
2.0	757	2.8%

Most occurring characters

Value	Count	Frequency (%)
0	51659	64.3%
.	26790	33.3%
1	1164	1.4%
2	757	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	53580	66.7%
Other Punctuation	26790	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	51659	96.4%
1	1164	2.2%
2	757	1.4%

Value	Count	Frequency (%)
.	26790	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	80370	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	51659	64.3%
.	26790	33.3%
1	1164	1.4%
2	757	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	80370	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	51659	64.3%
.	26790	33.3%
1	1164	1.4%
2	757	0.9%

Climate Adaptation
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	11155
Missing (%)	29.3%
Memory size	297.9 KiB

0.0	23852
1.0	2200
2.0	906

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	80874
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	2.0
5th row	1.0

Value	Count	Frequency (%)
0.0	23852	62.6%
1.0	2200	5.8%
2.0	906	2.4%
(Missing)	11155	29.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	23852	88.5%
1.0	2200	8.2%
2.0	906	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	50810	62.8%
.	26958	33.3%
1	2200	2.7%
2	906	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	53916	66.7%
Other Punctuation	26958	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	50810	94.2%
1	2200	4.1%
2	906	1.7%

Value	Count	Frequency (%)
.	26958	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	80874	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	50810	62.8%
.	26958	33.3%
1	2200	2.7%
2	906	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	80874	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	50810	62.8%
.	26958	33.3%
1	2200	2.7%
2	906	1.1%

Desertification
Categorical

HIGH CORRELATION
MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	20731
Missing (%)	54.4%
Memory size	297.9 KiB

0.0	16287
1.0	822
2.0	273

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	52146
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Value	Count	Frequency (%)
0.0	16287	42.7%
1.0	822	2.2%
2.0	273	0.7%
(Missing)	20731	54.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0	16287	93.7%
1.0	822	4.7%
2.0	273	1.6%

Most occurring characters

Value	Count	Frequency (%)
0	33669	64.6%
.	17382	33.3%
1	822	1.6%
2	273	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	34764	66.7%
Other Punctuation	17382	33.3%

Most frequent character per category

Value	Count	Frequency (%)
0	33669	96.9%
1	822	2.4%
2	273	0.8%

Value	Count	Frequency (%)
.	17382	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	52146	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	33669	64.6%
.	17382	33.3%
1	822	1.6%
2	273	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	52146	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	33669	64.6%
.	17382	33.3%
1	822	1.6%
2	273	0.5%

Amount
Real number (ℝ)

HIGH CORRELATION
SKEWED

Distinct	15313
Distinct (%)	40.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.473140572
Minimum	-0.0766
Maximum	600
Zeros	0
Zeros (%)	0.0%
Memory size	297.9 KiB

Quantile statistics

Minimum	-0.0766
5-th percentile	0.00113
Q1	0.012728603
median	0.072
Q3	0.4
95-th percentile	5
Maximum	600
Range	600.0766
Interquartile range (IQR)	0.387271397

Descriptive statistics

Standard deviation	9.457198775
Coefficient of variation (CV)	6.419753114
Kurtosis	824.9318405
Mean	1.473140572
Median Absolute Deviation (MAD)	0.06896
Skewness	22.36050163
Sum	56145.80662
Variance	89.43860866
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.00113	229	0.6%
0.00225	217	0.6%
0.00338	168	0.4%
0.0113	165	0.4%
0.5	165	0.4%
1	161	0.4%
0.00451	153	0.4%
0.00564	145	0.4%
0.001	123	0.3%
0.0169	118	0.3%
Other values (15303)	36469	95.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.0766	1	< 0.1%
3.18 × 10²⁴	1	< 0.1%
6.92 × 10²⁴	1	< 0.1%
3.17 × 10²³	1	< 0.1%
3.26 × 10²³	1	< 0.1%

Value	Count	Frequency (%)
600	1	< 0.1%
403.0375342	1	< 0.1%
360	1	< 0.1%
320.8499688	1	< 0.1%
309.9988727	1	< 0.1%

Amount Type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

Constant Prices (2017 USD millions)	38113

Length

Max length	35
Median length	35
Mean length	35
Min length	35

Characters and Unicode

Total characters	1333955
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Constant Prices (2017 USD millions)
2nd row	Constant Prices (2017 USD millions)
3rd row	Constant Prices (2017 USD millions)
4th row	Constant Prices (2017 USD millions)
5th row	Constant Prices (2017 USD millions)

Value	Count	Frequency (%)
Constant Prices (2017 USD millions)	38113	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
usd	38113	20.0%
millions	38113	20.0%
constant	38113	20.0%
2017	38113	20.0%
prices	38113	20.0%

Most occurring characters

Value	Count	Frequency (%)
	152452	11.4%
n	114339	8.6%
s	114339	8.6%
i	114339	8.6%
o	76226	5.7%
t	76226	5.7%
l	76226	5.7%
C	38113	2.9%
a	38113	2.9%
P	38113	2.9%
Other values (13)	495469	37.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	762260	57.1%
Uppercase Letter	190565	14.3%
Space Separator	152452	11.4%
Decimal Number	152452	11.4%
Open Punctuation	38113	2.9%
Close Punctuation	38113	2.9%

Most frequent character per category

Value	Count	Frequency (%)
n	114339	15.0%
s	114339	15.0%
i	114339	15.0%
o	76226	10.0%
t	76226	10.0%
l	76226	10.0%
a	38113	5.0%
r	38113	5.0%
c	38113	5.0%
e	38113	5.0%

Value	Count	Frequency (%)
C	38113	20.0%
P	38113	20.0%
U	38113	20.0%
S	38113	20.0%
D	38113	20.0%

Value	Count	Frequency (%)
2	38113	25.0%
0	38113	25.0%
1	38113	25.0%
7	38113	25.0%

Value	Count	Frequency (%)
	152452	100.0%

Value	Count	Frequency (%)
(	38113	100.0%

Value	Count	Frequency (%)
)	38113	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	952825	71.4%
Common	381130	28.6%

Most frequent character per script

Value	Count	Frequency (%)
n	114339	12.0%
s	114339	12.0%
i	114339	12.0%
o	76226	8.0%
t	76226	8.0%
l	76226	8.0%
C	38113	4.0%
a	38113	4.0%
P	38113	4.0%
r	38113	4.0%
Other values (6)	228678	24.0%

Value	Count	Frequency (%)
	152452	40.0%
(	38113	10.0%
2	38113	10.0%
0	38113	10.0%
1	38113	10.0%
7	38113	10.0%
)	38113	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1333955	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	152452	11.4%
n	114339	8.6%
s	114339	8.6%
i	114339	8.6%
o	76226	5.7%
t	76226	5.7%
l	76226	5.7%
C	38113	2.9%
a	38113	2.9%
P	38113	2.9%
Other values (13)	495469	37.1%

Amount Tied USD million
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct	2583
Distinct (%)	18.1%
Missing	23830
Missing (%)	62.5%
Infinite	0
Infinite (%)	0.0%

Mean	0.319447126
Minimum	0
Maximum	131.43
Zeros	8731
Zeros (%)	22.9%
Memory size	297.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.02985
95-th percentile	0.87123
Maximum	131.43
Range	131.43
Interquartile range (IQR)	0.02985

Descriptive statistics

Standard deviation	2.752787645
Coefficient of variation (CV)	8.617349856
Kurtosis	914.8547048
Mean	0.319447126
Median Absolute Deviation (MAD)	0
Skewness	25.85018859
Sum	4562.6633
Variance	7.577839817
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8731	22.9%
0.0369	48	0.1%
0.0297	44	0.1%
0.5	38	0.1%
0.0001	31	0.1%
0.002	29	0.1%
1	29	0.1%
0.0002	29	0.1%
0.0004	29	0.1%
0.1	27	0.1%
Other values (2573)	5248	13.8%
(Missing)	23830	62.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8731	22.9%
0.0001	31	0.1%
0.0002	29	0.1%
0.0003	15	< 0.1%
0.0004	29	0.1%

Value	Count	Frequency (%)
131.43	1	< 0.1%
124.7	1	< 0.1%
86.8781	1	< 0.1%
73.1106	1	< 0.1%
73	1	< 0.1%

Amount Untied USD million
Real number (ℝ)

HIGH CORRELATION
MISSING
SKEWED
ZEROS

Distinct	6080
Distinct (%)	26.1%
Missing	14848
Missing (%)	39.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.188732362
Minimum	-0.0766
Maximum	403.0375
Zeros	2626
Zeros (%)	6.9%
Memory size	297.9 KiB

Quantile statistics

Minimum	-0.0766
5-th percentile	0
Q1	0.0068
median	0.0593
Q3	0.3946
95-th percentile	4.19888
Maximum	403.0375
Range	403.1141
Interquartile range (IQR)	0.3878

Descriptive statistics

Standard deviation	7.290703853
Coefficient of variation (CV)	6.13317521
Kurtosis	788.1072624
Mean	1.188732362
Median Absolute Deviation (MAD)	0.0593
Skewness	22.3526214
Sum	27655.8584
Variance	53.15436268
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2626	6.9%
0.0023	227	0.6%
0.0011	225	0.6%
0.0034	187	0.5%
0.0056	159	0.4%
0.0045	151	0.4%
0.001	135	0.4%
0.0113	133	0.3%
0.0051	120	0.3%
1	110	0.3%
Other values (6070)	19192	50.4%
(Missing)	14848	39.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.0766	1	< 0.1%
0	2626	6.9%
0.0001	58	0.2%
0.0002	68	0.2%
0.0003	57	0.1%

Value	Count	Frequency (%)
403.0375	1	< 0.1%
309.9989	1	< 0.1%
255.0445	1	< 0.1%
225.4537	1	< 0.1%
213.0999	1	< 0.1%

Amount Partially Untied USD million
Real number (ℝ_≥0)

MISSING
SKEWED
ZEROS

Distinct	23
Distinct (%)	0.3%
Missing	30563
Missing (%)	80.2%
Infinite	0
Infinite (%)	0.0%

Mean	0.05001716556
Minimum	0
Maximum	138.654
Zeros	7523
Zeros (%)	19.7%
Memory size	297.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	138.654
Range	138.654
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.945819562
Coefficient of variation (CV)	38.90303539
Kurtosis	3709.775871
Mean	0.05001716556
Median Absolute Deviation (MAD)	0
Skewness	57.0537557
Sum	377.6296
Variance	3.786213767
Monotocity	Not monotonic

Histogram with fixed size bins (bins=23)

Value	Count	Frequency (%)
0	7523	19.7%
0.4878	3	< 0.1%
16.909	2	< 0.1%
3.3818	2	< 0.1%
0.2439	2	< 0.1%
138.654	1	< 0.1%
9.5818	1	< 0.1%
29.8726	1	< 0.1%
2.2545	1	< 0.1%
33.8181	1	< 0.1%
Other values (13)	13	< 0.1%
(Missing)	30563	80.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7523	19.7%
0.0004	1	< 0.1%
0.0282	1	< 0.1%
0.0557	1	< 0.1%
0.0672	1	< 0.1%

Value	Count	Frequency (%)
138.654	1	< 0.1%
73.2725	1	< 0.1%
34.3817	1	< 0.1%
33.8181	1	< 0.1%
29.8726	1	< 0.1%

Nature of Submission
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	297.9 KiB

1	23443
8	12069
3	2601

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	38113
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	3
5th row	3

Value	Count	Frequency (%)
1	23443	61.5%
8	12069	31.7%
3	2601	6.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	23443	61.5%
8	12069	31.7%
3	2601	6.8%

Most occurring characters

Value	Count	Frequency (%)
1	23443	61.5%
8	12069	31.7%
3	2601	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	38113	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	23443	61.5%
8	12069	31.7%
3	2601	6.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	38113	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	23443	61.5%
8	12069	31.7%
3	2601	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	38113	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	23443	61.5%
8	12069	31.7%
3	2601	6.8%

Value
Real number (ℝ)

HIGH CORRELATION
SKEWED

Distinct	23556
Distinct (%)	61.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.473140506
Minimum	-0.076641867
Maximum	600
Zeros	0
Zeros (%)	0.0%
Memory size	297.9 KiB

Quantile statistics

Minimum	-0.076641867
5-th percentile	0.001127269
Q1	0.012739921
median	0.072
Q3	0.4
95-th percentile	5
Maximum	600
Range	600.0766419
Interquartile range (IQR)	0.387260079

Descriptive statistics

Standard deviation	9.457198785
Coefficient of variation (CV)	6.419753409
Kurtosis	824.9318376
Mean	1.473140506
Median Absolute Deviation (MAD)	0.068956375
Skewness	22.36050158
Sum	56145.8041
Variance	89.43860885
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.001127269	220	0.6%
0.002254537	206	0.5%
0.5	165	0.4%
0.003381806	164	0.4%
1	161	0.4%
0.004509075	146	0.4%
0.005636343	128	0.3%
0.001	122	0.3%
0.011272686	116	0.3%
0.3	110	0.3%
Other values (23546)	36575	96.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-0.076641867	1	< 0.1%
3.18 × 10²⁴	1	< 0.1%
6.92 × 10²⁴	1	< 0.1%
3.17 × 10²³	1	< 0.1%
3.26 × 10²³	1	< 0.1%

Value	Count	Frequency (%)
600	1	< 0.1%
403.0375342	1	< 0.1%
360	1	< 0.1%
320.8499688	1	< 0.1%
309.9988727	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	DONOR	RECIPIENT	SECTOR	FLOW	AMOUNTTYPE	FLOWTYPE	AIDTYPE	YEAR	Donor Name	Donor Agency	OECD ID	Donor Project ID	Recipient Name	Region	Income Group	Channel of Delivery Name	Category Code	Category Name	FinanceType Code	FinanceType Name	BiMulti Code	Type of Aid Code	Type of Aid Name	Short Description	Project title	Purpose Code	Purpose Name	Sector	Long Description	SDG Focus	Gender equality	Environment	PDGG	Trade Development	RMNCH	DRR	Nutrition	Disability	Biodiversity	Climate Mitigation	Climate Adaptation	Desertification	Amount	Amount Type	Amount Tied USD million	Amount Untied USD million	Amount Partially Untied USD million	Nature of Submission	Value
0	959	248	74020	11	D	115	C01	2017	UNDP	UNDP	2017001425	90771	Kenya	South of Sahara	LMICs	NaN	10	ODA	110	Standard grant	4	C01	Project-type interventions	7KEN14710 DEEPENING PEACE	7KEN14710 Deepening Peace	74020	Multi-hazard response preparedness	VIII.3. Disaster Prevention & Preparedness	The project was designed to contribute to Peacebuilding, Cohesion and Community Security in Kenya	NaN	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.048700	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.048654
1	959	248	74020	11	D	115	C01	2017	UNDP	UNDP	2017001299	89430	Kenya	South of Sahara	LMICs	NaN	10	ODA	110	Standard grant	4	C01	Project-type interventions	3KEN GOVERNANCE FOR DRR	3KEN Governance for DRR	74020	Multi-hazard response preparedness	VIII.3. Disaster Prevention & Preparedness	The project is designed to contribute to Effective Governance for Disaster Risk Reduction at National and County levels. This will be achieved through strengthening institutional capacity, legislative and policy frameworks.	NaN	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.137405	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.137405
2	959	248	74020	11	D	115	C01	2017	UNDP	UNDP	2017002535	105530	Kenya	South of Sahara	LMICs	NaN	10	ODA	110	Standard grant	4	C01	Project-type interventions	DROUGHT RESPONSE & RESILIENCE	Drought Response & Resilience	74020	Multi-hazard response preparedness	VIII.3. Disaster Prevention & Preparedness	Drought Response, Early Recovery and Resilience in arid and semi-arid counties of Kenya	NaN	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.347220	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.347220
3	958	236	51010	13	D	115	A01	2017	IMF (Concessional Trust Funds)	IMF concessional	2017000014	NaN	Benin	South of Sahara	LDCs	NaN	10	ODA	421	Standard loan	4	A01	General budget support	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	51010	General budget support-related aid	VI.1. General Budget Support	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	44.138666	Constant Prices (2017 USD millions)	NaN	NaN	NaN	3	44.138666
4	958	287	51010	13	D	115	A01	2017	IMF (Concessional Trust Funds)	IMF concessional	2017000025	NaN	Burkina Faso	South of Sahara	LDCs	NaN	10	ODA	421	Standard loan	4	A01	General budget support	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	51010	General budget support-related aid	VI.1. General Budget Support	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	6.197771	Constant Prices (2017 USD millions)	NaN	NaN	NaN	3	6.197771
5	958	232	51010	13	D	115	A01	2017	IMF (Concessional Trust Funds)	IMF concessional	2017000019	NaN	Chad	South of Sahara	LDCs	NaN	10	ODA	421	Standard loan	4	A01	General budget support	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	51010	General budget support-related aid	VI.1. General Budget Support	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	48.597733	Constant Prices (2017 USD millions)	NaN	NaN	NaN	3	48.597733
6	958	247	51010	13	D	115	A01	2017	IMF (Concessional Trust Funds)	IMF concessional	2017000002	NaN	C(te d'Ivoire	South of Sahara	LMICs	NaN	10	ODA	421	Standard loan	4	A01	General budget support	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	51010	General budget support-related aid	VI.1. General Budget Support	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	89.464198	Constant Prices (2017 USD millions)	NaN	NaN	NaN	3	89.464198
7	958	241	51010	13	D	115	A01	2017	IMF (Concessional Trust Funds)	IMF concessional	2017000003	NaN	Ghana	South of Sahara	LMICs	NaN	10	ODA	421	Standard loan	4	A01	General budget support	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	51010	General budget support-related aid	VI.1. General Budget Support	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	92.093051	Constant Prices (2017 USD millions)	NaN	NaN	NaN	3	92.093051
8	958	243	51010	13	D	115	A01	2017	IMF (Concessional Trust Funds)	IMF concessional	2017000027	NaN	Guinea	South of Sahara	LDCs	NaN	10	ODA	421	Standard loan	4	A01	General budget support	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	51010	General budget support-related aid	VI.1. General Budget Support	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	23.862111	Constant Prices (2017 USD millions)	NaN	NaN	NaN	3	23.862111
9	958	244	51010	13	D	115	A01	2017	IMF (Concessional Trust Funds)	IMF concessional	2017000036	NaN	Guinea-Bissau	South of Sahara	LDCs	NaN	10	ODA	421	Standard loan	4	A01	General budget support	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	GENERAL BUDGET SUPPORT (SEMI-AGGREGATES)	51010	General budget support-related aid	VI.1. General Budget Support	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	8.402347	Constant Prices (2017 USD millions)	NaN	NaN	NaN	3	8.402347

Last rows

	DONOR	RECIPIENT	SECTOR	FLOW	CHANNEL	AMOUNTTYPE	FLOWTYPE	AIDTYPE	YEAR	Donor Name	Donor Agency	OECD ID	Donor Project ID	Recipient Name	Region	Income Group	Channel of Delivery Code	Channel of Delivery Name	Category Code	Category Name	FinanceType Code	FinanceType Name	BiMulti Code	Type of Aid Code	Type of Aid Name	Short Description	Project title	Purpose Code	Purpose Name	Sector	Long Description	SDG Focus	DRR	Nutrition	Disability	Desertification	Amount	Amount Type	Amount Tied USD million	Amount Untied USD million	Amount Partially Untied USD million	Nature of Submission	Value
38103	302	269	91010	11	10000	D	115	G01	2017	United States	Agency for International Development	2017016115A	76_39053	Senegal	South of Sahara	LDCs	10000	Central Government	10	ODA	110	Standard grant	1	G01	Administrative costs not included elsewhere	PROGRAM DESIGN AND LEARNING	Program Design and Learning	91010	Administrative costs (non-sector allocable)	Administrative Costs of Donors	Develop and conduct needs assessments, baseline studies, targeted evaluations, special studies or other information-gathering efforts specifically for the design, monitoring and evaluation of USG-funded programs. This sub-element may also include developing and disseminating best practices and lessons learned, testing demonstration and/or pilot models, or the preparation of strategic plans and other short-term programming tasks. Note: All such activities that are carried out by partners as an integral part of their monitoring and evaluation efforts for programs funded under other sub-elements should be included within those sub-elements.	NaN	NaN	NaN	NaN	NaN	0.01112	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.01112
38104	302	269	91010	11	10000	D	115	G01	2017	United States	Agency for International Development	2017016115B	76_39053	Senegal	South of Sahara	LDCs	10000	Central Government	10	ODA	110	Standard grant	1	G01	Administrative costs not included elsewhere	PROGRAM DESIGN AND LEARNING	Program Design and Learning	91010	Administrative costs (non-sector allocable)	Administrative Costs of Donors	Develop and conduct needs assessments, baseline studies, targeted evaluations, special studies or other information-gathering efforts specifically for the design, monitoring and evaluation of USG-funded programs. This sub-element may also include developing and disseminating best practices and lessons learned, testing demonstration and/or pilot models, or the preparation of strategic plans and other short-term programming tasks. Note: All such activities that are carried out by partners as an integral part of their monitoring and evaluation efforts for programs funded under other sub-elements should be included within those sub-elements.	NaN	NaN	NaN	NaN	NaN	0.00500	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.00500
38105	302	269	91010	11	10000	D	115	G01	2017	United States	Agency for International Development	2017014987A	76_36606	Senegal	South of Sahara	LDCs	10000	Central Government	10	ODA	110	Standard grant	1	G01	Administrative costs not included elsewhere	ADMINISTRATION AND OVERSIGHT	Administration and Oversight	91010	Administrative costs (non-sector allocable)	Administrative Costs of Donors	Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.	NaN	NaN	NaN	NaN	NaN	0.47459	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.47459
38106	302	269	91010	11	10000	D	115	G01	2017	United States	Agency for International Development	2017011148	76_11672	Senegal	South of Sahara	LDCs	10000	Central Government	10	ODA	110	Standard grant	1	G01	Administrative costs not included elsewhere	ADMINISTRATIVE COSTS	Administrative costs	91010	Administrative costs (non-sector allocable)	Administrative Costs of Donors	Administrative costs	NaN	NaN	NaN	NaN	NaN	14.23587	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	14.23587
38107	302	269	91010	11	10000	D	115	G01	2017	United States	Agency for International Development	2017014852E	76_36603	Senegal	South of Sahara	LDCs	10000	Central Government	10	ODA	110	Standard grant	1	G01	Administrative costs not included elsewhere	ADMINISTRATION AND OVERSIGHT	Administration and Oversight	91010	Administrative costs (non-sector allocable)	Administrative Costs of Donors	Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.	NaN	NaN	NaN	NaN	NaN	0.60330	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.60330
38108	302	269	91010	11	10000	D	115	G01	2017	United States	Agency for International Development	2017014852A	76_36603	Senegal	South of Sahara	LDCs	10000	Central Government	10	ODA	110	Standard grant	1	G01	Administrative costs not included elsewhere	ADMINISTRATION AND OVERSIGHT	Administration and Oversight	91010	Administrative costs (non-sector allocable)	Administrative Costs of Donors	Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.	NaN	NaN	NaN	NaN	NaN	0.02000	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.02000
38109	302	269	91010	11	10000	D	115	G01	2017	United States	Agency for International Development	2017014852D	76_36603	Senegal	South of Sahara	LDCs	10000	Central Government	10	ODA	110	Standard grant	1	G01	Administrative costs not included elsewhere	ADMINISTRATION AND OVERSIGHT	Administration and Oversight	91010	Administrative costs (non-sector allocable)	Administrative Costs of Donors	Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.	NaN	NaN	NaN	NaN	NaN	1.27594	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	1.27594
38110	302	269	91010	11	10000	D	115	G01	2017	United States	Agency for International Development	2017014987C	76_36606	Senegal	South of Sahara	LDCs	10000	Central Government	10	ODA	110	Standard grant	1	G01	Administrative costs not included elsewhere	ADMINISTRATION AND OVERSIGHT	Administration and Oversight	91010	Administrative costs (non-sector allocable)	Administrative Costs of Donors	Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.	NaN	NaN	NaN	NaN	NaN	0.27151	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.27151
38111	302	269	91010	11	10000	D	115	G01	2017	United States	Agency for International Development	2017024615B	76_55025	Senegal	South of Sahara	LDCs	10000	Central Government	10	ODA	110	Standard grant	1	G01	Administrative costs not included elsewhere	ADMINISTRATION AND OVERSIGHT	Administration and Oversight	91010	Administrative costs (non-sector allocable)	Administrative Costs of Donors	Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.	NaN	NaN	NaN	NaN	NaN	0.01992	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.01992
38112	302	269	91010	11	10000	D	115	G01	2017	United States	Agency for International Development	2017014987D	76_36606	Senegal	South of Sahara	LDCs	10000	Central Government	10	ODA	110	Standard grant	1	G01	Administrative costs not included elsewhere	ADMINISTRATION AND OVERSIGHT	Administration and Oversight	91010	Administrative costs (non-sector allocable)	Administrative Costs of Donors	Supports the following illustrative program-funded costs: salaries of US, FSN, and TCN and other staff such as PSCs, RSSAs, PASAs, CASUs working for the US Government managing, administering, and supporting programs and their program-funded benefits such as housing, travel, transportation, education allowances etc; institutional contractors that provide such staff, rent, IT services, the program-funded share of utilities, staff training costs and the cost of developing and administering training programs, equipment and supplies, ICASS, vehicle fuel and maintenance, maintenance contracts, janitorial services, operational unit web page development and maintenance, outreach such as publications and the cost of their preparation (including staff costs), and technical assistance to ensure USG compliance with regulations.	NaN	NaN	NaN	NaN	NaN	0.43046	Constant Prices (2017 USD millions)	NaN	NaN	NaN	1	0.43046

Most frequent

	DONOR	RECIPIENT	SECTOR	FLOW	CHANNEL	AMOUNTTYPE	FLOWTYPE	AIDTYPE	YEAR	Donor Name	Donor Agency	OECD ID	Donor Project ID	Recipient Name	Region	Income Group	Channel of Delivery Code	Channel of Delivery Name	Category Code	Category Name	FinanceType Code	FinanceType Name	BiMulti Code	Type of Aid Code	Type of Aid Name	Short Description	Project title	Purpose Code	Purpose Name	Sector	Long Description	Gender equality	Environment	PDGG	Trade Development	RMNCH	Biodiversity	Climate Mitigation	Climate Adaptation	Desertification	Amount	Amount Type	Amount Tied USD million	Amount Untied USD million	Amount Partially Untied USD million	Nature of Submission	Value	count
0	301	259	11110	11	10000	D	115	B04	2017	Canada	Global Affairs Canada	2.0172E+13	P001664001	Mozambique	South of Sahara	LDCs	10000	Recipient Government	10	ODA	110	Standard grant	1	B04	Basket funds/pooled funding	ADVANCING QUALITY EDUCATION AND SCHOOL-RELATED SEXUAL AND REPRODUCTIVE HEALTH AND RIGHTS/STIMULER UNE +DUCATION DE QUALIT+ ET LA SANT+ ET LES DROITS S	Advancing Quality Education and School-Related Sexual and Reproductive Health and Rights/Stimuler une Tducation de qualitT et la santT et les droits sexuels et reproductifs en milieu scolai	11110	Education policy and administrative management	I.1.a. Education, Level Unspecified	This project contributes to the Ministerial commitment of contributing $650M over three years in support of SRHR initiatives and fully supports the Ministerial priority of empowering women and girls by advancing the empowerment of over 3 million girls through support for quality primary and secondary education, eliminating the gender gap through the education sector common fund and providing information on SRH to adolescent girls. Targeted technical assistance and capacity building will focus on the implementation of the CEFM and GE Strategies of the Ministry of Education, including measures to combat SGBV. It also contributes to the Africa target./	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.982205	Constant Prices (2017 USD millions)	0.0	0.9822	0.0	1	0.982205	2
1	301	259	11110	11	40000	D	115	B04	2017	Canada	Global Affairs Canada	2.0172E+13	P001664002	Mozambique	South of Sahara	LDCs	40000	United Nations ChildrenÆs Fund	10	ODA	110	Standard grant	1	B04	Basket funds/pooled funding	SCHOOL-RELATED SEXUAL AND REPRODUCTIVE HEALTH AND RIGHTS/SANT+ ET DROITS SEXUELS ET REPRODUCTIFS LI+S AU MILIEU SCOLAIRE	School-related sexual and reproductive health and rights/SantT et droits sexuels et reproductifs liTs au milieu scolaire	11110	Education policy and administrative management	I.1.a. Education, Level Unspecified	This project contributes to the Ministerial commitment of contributing $650M over three years in support of SRHR initiatives and fully supports the Ministerial priority of empowering women and girls by advancing the empowerment of over 3 million girls through support for quality primary and secondary education, eliminating the gender gap through the education sector common fund and providing information on SRH to adolescent girls. Targeted technical assistance and capacity building will focus on the implementation of the CEFM and GE Strategies of the Ministry of Education, including measures to combat SGBV. It also contributes to the Africa target./a venir	1.0	1.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.173330	Constant Prices (2017 USD millions)	0.0	0.1733	0.0	1	0.173330	2

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